Sample entropy based prescribed performance control for tailless aircraft
This paper proposes a sample entropy (SampEn) based prescribed performance controller (SPPC) for the longitudinal control of a supersonic tailless aircraft subject to model uncertainty and nonlinearity. Considering that SampEn can evaluate the system’s stability, a SampEn-based feedback adjust syste...
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| Published in | ISA transactions Vol. 131; pp. 349 - 366 |
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| Main Authors | , , , , , |
| Format | Journal Article |
| Language | English |
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Elsevier Ltd
01.12.2022
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| Abstract | This paper proposes a sample entropy (SampEn) based prescribed performance controller (SPPC) for the longitudinal control of a supersonic tailless aircraft subject to model uncertainty and nonlinearity. Considering that SampEn can evaluate the system’s stability, a SampEn-based feedback adjust system (SFAS) is developed in this paper. With the help of SFAS, the SPPC could identify the dangerous chattering in the status signal that may lead the aircraft to lose control and make appropriate adjustments to feedback. Besides, the SPPC does not require any accurate model information and only needs to know the rough trend of dynamic functions. Although no adaptive or robust control mechanisms are introduced, the SPPC shows robustness against model uncertainty utilizing the nonlinear error feedback. Compared with traditional prescribed performance control (TPPC), the SPPC achieves better performance and safer flight. The whole control structure is developed through the backstepping technique, and the closed-loop stability is proved. At last, the advance of SPPC is verified via simulation using a high-fidelity tailless aircraft model, and the inner mechanisms of SPPC are further discussed. |
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| AbstractList | This paper proposes a sample entropy (SampEn) based prescribed performance controller (SPPC) for the longitudinal control of a supersonic tailless aircraft subject to model uncertainty and nonlinearity. Considering that SampEn can evaluate the system's stability, a SampEn-based feedback adjust system (SFAS) is developed in this paper. With the help of SFAS, the SPPC could identify the dangerous chattering in the status signal that may lead the aircraft to lose control and make appropriate adjustments to feedback. Besides, the SPPC does not require any accurate model information and only needs to know the rough trend of dynamic functions. Although no adaptive or robust control mechanisms are introduced, the SPPC shows robustness against model uncertainty utilizing the nonlinear error feedback. Compared with traditional prescribed performance control (TPPC), the SPPC achieves better performance and safer flight. The whole control structure is developed through the backstepping technique, and the closed-loop stability is proved. At last, the advance of SPPC is verified via simulation using a high-fidelity tailless aircraft model, and the inner mechanisms of SPPC are further discussed. This paper proposes a sample entropy (SampEn) based prescribed performance controller (SPPC) for the longitudinal control of a supersonic tailless aircraft subject to model uncertainty and nonlinearity. Considering that SampEn can evaluate the system's stability, a SampEn-based feedback adjust system (SFAS) is developed in this paper. With the help of SFAS, the SPPC could identify the dangerous chattering in the status signal that may lead the aircraft to lose control and make appropriate adjustments to feedback. Besides, the SPPC does not require any accurate model information and only needs to know the rough trend of dynamic functions. Although no adaptive or robust control mechanisms are introduced, the SPPC shows robustness against model uncertainty utilizing the nonlinear error feedback. Compared with traditional prescribed performance control (TPPC), the SPPC achieves better performance and safer flight. The whole control structure is developed through the backstepping technique, and the closed-loop stability is proved. At last, the advance of SPPC is verified via simulation using a high-fidelity tailless aircraft model, and the inner mechanisms of SPPC are further discussed.This paper proposes a sample entropy (SampEn) based prescribed performance controller (SPPC) for the longitudinal control of a supersonic tailless aircraft subject to model uncertainty and nonlinearity. Considering that SampEn can evaluate the system's stability, a SampEn-based feedback adjust system (SFAS) is developed in this paper. With the help of SFAS, the SPPC could identify the dangerous chattering in the status signal that may lead the aircraft to lose control and make appropriate adjustments to feedback. Besides, the SPPC does not require any accurate model information and only needs to know the rough trend of dynamic functions. Although no adaptive or robust control mechanisms are introduced, the SPPC shows robustness against model uncertainty utilizing the nonlinear error feedback. Compared with traditional prescribed performance control (TPPC), the SPPC achieves better performance and safer flight. The whole control structure is developed through the backstepping technique, and the closed-loop stability is proved. At last, the advance of SPPC is verified via simulation using a high-fidelity tailless aircraft model, and the inner mechanisms of SPPC are further discussed. |
| Author | Su, Maoyu Wang, Yingyang Han, Linxiao He, Zihou Cong, Jiping Hu, Jianbo |
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| CitedBy_id | crossref_primary_10_3390_aerospace10020198 crossref_primary_10_1155_2023_5541378 crossref_primary_10_1142_S2737480724300026 crossref_primary_10_1016_j_jer_2023_08_004 crossref_primary_10_3390_aerospace10030241 crossref_primary_10_3390_drones7050294 |
| Cites_doi | 10.2514/6.2017-1757 10.1152/ajpheart.2000.278.6.H2039 10.1016/j.isatra.2018.05.008 10.1109/ISMSIT50672.2020.9255181 10.1016/j.isatra.2019.05.019 10.1016/j.automatica.2014.02.020 10.1007/s42835-020-00421-w 10.1109/TAC.2008.929402 10.1002/acs.2955 10.1016/j.ymssp.2019.106548 10.1016/j.neubiorev.2016.03.035 10.1016/j.jbmt.2020.03.008 10.2514/6.2018-1116 10.1049/iet-cta.2013.0181 10.1002/acs.2937 10.1155/2021/4945642 10.1109/CEIT.2018.8751829 10.1109/APARM49247.2020.9209495 10.1186/s12998-021-00366-5 10.1109/ACIT49673.2020.9208912 10.1016/j.ast.2021.106889 10.1007/s10439-012-0668-3 10.1016/j.jsv.2018.09.054 10.1016/j.ast.2017.03.005 10.1063/5.0002786 10.1145/321607.321609 10.1002/rnc.4466 |
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| Keywords | Sample entropy Tailless aircraft Prescribed performance control |
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| References | Kana, Maximo, Nelson (b29) 2021 Voronych A, Nykolaychuk L, Grynchyshyn T, Hryha V, Nykolaychuk Y. Development of Theory, Scope and Tools for Entropy Signals and Data Processing. In: 2020 10th International conference on advanced computer information technologies. 2020. Wang S, Li Y. A Novel Nonlinear Analysis Tool: Multi-scale Symbolic Sample Entropy and Its Application in Condition Monitoring of Rotary Machinery. In: 2020 Asia-pacific international symposium on advanced reliability and maintenance modeling. 2020, p. 1–5. Wang, Wu (b37) 2017; 66 Wang (b8) 2020 Jackson (b41) 1989 Altan A, Aslan O, Hacioglu R. Real-Time Control based on NARX Neural Network of Hexarotor UAV with Load Transporting System for Path Tracking. In: 2018 6th international conference on control engineering & information technology. 2018, p. 1–6. Putro IE, Duhri RA. Longitudinal stability augmentation control for turbojet UAV based on linear quadratic regulator (LQR) approach. In: Proceedings of the 3RD international seminar on metallurgy and materials (ISMM2019): Exploring new innovation in metallurgy and materials, vol. 2232. (April):ISBN: 9780735419858, 2020, 020013. Bechlioulis, Rovithakis (b16) 2008; 53 Bechlioulis, Rovithakis (b19) 2014; 50 Stergiou, Harbourne, Cavanaugh (b23) 2006; 30 Sontag (b42) 1998 Li, Feng, Liang, Zuo (b32) 2019; 439 König, Taylor, Baumann, Wenderoth, Singh (b25) 2016; 68 Qiu, Wang, Sun, Rudas, Gao (b18) 2021; PP Nieto-Wire, Sobel (b36) 2009 Bergna, Vismara, Parravicini, Farra (b24) 2020; 24 3 Stolk (b3) 2017 Zhou, Zhang, Dou, Wen (b15) 2018; 32 Rosales, Soria, Rossomando (b13) 2019; 33 van den Aarssen (b1) 2020 Malaya, Haworth, Pohlman, Smith (b28) 2021; 29 Wang, Hu (b21) 2018 Yentes, Hunt, Schmid, Kaipust, Mcgrath, Stergiou (b27) 2013; 41 Matamoros (b34) 2017 Altan, Hacioglu (b6) 2020; 138 Lungu (b10) 2019; 95 Lee, Lee, Tahk (b12) 2013 . Akima (b43) 1970; 17 Zhou, Ho, Chu (b5) 2021; 116 Matamoros I, de Vissery CC. Incremental nonlinear control allocation for a tailless aircraft with innovative control effectors. In: AIAA guidance, navigation, and control conference, 2018. (210039):ISBN: 9781624105265, 2018, p. 1–25. Liu, Gao, Liu, Wang, Zhou (b17) 2021 Maqsood, Qu (b11) 2020; 15 Cho, Jung, An, Choi, joo Kim (b4) 2021 Altan A. Performance of Metaheuristic Optimization Algorithms based on Swarm Intelligence in Attitude and Altitude Control of Unmanned Aerial Vehicle for Path Following. In: 2020 4th International symposium on multidisciplinary studies and innovative technologies. 2020, p. 1–6. Carr (b40) 1981 Richman, Randall (b31) 2000; 278 Niestroy MA, Dorsett KM, Markstein K. A tailless fighter aircraft model for control-related research and development. In: AIAA modeling and simulation technologies conference, 2017. (January):ISBN: 9781624104510, 2017, p. 1–18. Han, Lee (b38) 2013; 7 Wang, Hu (b39) 2018; 79 Shannon (b26) 1948 HuChaofang, CaoLei, ZhouXianpeng, SunBinghan, WangNa (b14) 2018 Wang, Hu, Li, Liu (b22) 2019; 29 Zhou (10.1016/j.isatra.2022.04.041_b5) 2021; 116 Kana (10.1016/j.isatra.2022.04.041_b29) 2021 Akima (10.1016/j.isatra.2022.04.041_b43) 1970; 17 Bechlioulis (10.1016/j.isatra.2022.04.041_b16) 2008; 53 10.1016/j.isatra.2022.04.041_b2 König (10.1016/j.isatra.2022.04.041_b25) 2016; 68 Maqsood (10.1016/j.isatra.2022.04.041_b11) 2020; 15 Rosales (10.1016/j.isatra.2022.04.041_b13) 2019; 33 Liu (10.1016/j.isatra.2022.04.041_b17) 2021 Altan (10.1016/j.isatra.2022.04.041_b6) 2020; 138 Bechlioulis (10.1016/j.isatra.2022.04.041_b19) 2014; 50 10.1016/j.isatra.2022.04.041_b20 van den Aarssen (10.1016/j.isatra.2022.04.041_b1) 2020 Bergna (10.1016/j.isatra.2022.04.041_b24) 2020; 24 3 Han (10.1016/j.isatra.2022.04.041_b38) 2013; 7 Cho (10.1016/j.isatra.2022.04.041_b4) 2021 Li (10.1016/j.isatra.2022.04.041_b32) 2019; 439 Nieto-Wire (10.1016/j.isatra.2022.04.041_b36) 2009 Richman (10.1016/j.isatra.2022.04.041_b31) 2000; 278 Jackson (10.1016/j.isatra.2022.04.041_b41) 1989 Lee (10.1016/j.isatra.2022.04.041_b12) 2013 Stergiou (10.1016/j.isatra.2022.04.041_b23) 2006; 30 Matamoros (10.1016/j.isatra.2022.04.041_b34) 2017 Wang (10.1016/j.isatra.2022.04.041_b39) 2018; 79 Wang (10.1016/j.isatra.2022.04.041_b8) 2020 Wang (10.1016/j.isatra.2022.04.041_b37) 2017; 66 Carr (10.1016/j.isatra.2022.04.041_b40) 1981 10.1016/j.isatra.2022.04.041_b7 10.1016/j.isatra.2022.04.041_b35 Zhou (10.1016/j.isatra.2022.04.041_b15) 2018; 32 10.1016/j.isatra.2022.04.041_b33 10.1016/j.isatra.2022.04.041_b30 Stolk (10.1016/j.isatra.2022.04.041_b3) 2017 10.1016/j.isatra.2022.04.041_b9 Wang (10.1016/j.isatra.2022.04.041_b22) 2019; 29 Lungu (10.1016/j.isatra.2022.04.041_b10) 2019; 95 HuChaofang (10.1016/j.isatra.2022.04.041_b14) 2018 Qiu (10.1016/j.isatra.2022.04.041_b18) 2021; PP Yentes (10.1016/j.isatra.2022.04.041_b27) 2013; 41 Malaya (10.1016/j.isatra.2022.04.041_b28) 2021; 29 Sontag (10.1016/j.isatra.2022.04.041_b42) 1998 Wang (10.1016/j.isatra.2022.04.041_b21) 2018 Shannon (10.1016/j.isatra.2022.04.041_b26) 1948 |
| References_xml | – volume: 33 start-page: 74 year: 2019 end-page: 91 ident: b13 article-title: Identification and adaptive PID control of a hexacopter UAV based on neural networks publication-title: Internat J Adapt Control Signal Process – volume: 53 start-page: 2090 year: 2008 end-page: 2099 ident: b16 article-title: Robust adaptive control of feedback linearizable MIMO nonlinear systems with prescribed performance publication-title: IEEE Trans Automat Control – start-page: 102 year: 1998 end-page: 110 ident: b42 article-title: Mathematical control theory – reference: Matamoros I, de Vissery CC. Incremental nonlinear control allocation for a tailless aircraft with innovative control effectors. In: AIAA guidance, navigation, and control conference, 2018. (210039):ISBN: 9781624105265, 2018, p. 1–25. – volume: 32 start-page: 1675 year: 2018 end-page: 1693 ident: b15 article-title: A fuzzy adaptive backstepping control based on mass observer for trajectory tracking of a quadrotor UAV publication-title: Internat J Adapt Control Signal Process – volume: PP start-page: 1 year: 2021 ident: b18 article-title: Disturbance observer-based adaptive fuzzy control for strict-feedback nonlinear systems with finite-time prescribed performance publication-title: IEEE Trans Fuzzy Syst – volume: 41 start-page: 349 year: 2013 end-page: 365 ident: b27 article-title: The appropriate use of approximate entropy and sample entropy with short data sets publication-title: Ann Biomed Eng – year: 2021 ident: b29 article-title: ”Unrest while resting”? Brain entropy in autism spectrum disorder publication-title: Brain Res – start-page: 1 year: 2021 end-page: 16 ident: b17 article-title: Adaptive finite-time prescribed performance control for stochastic nonlinear systems with unknown virtual control coefficients publication-title: Nonlinear Dynam – year: 2009 ident: b36 article-title: Reconfigurable delta operator eigenstructure assignment for a tailless aircraft publication-title: AIAA Guidance, Navigation, and Control Conference and Exhibit – reference: Putro IE, Duhri RA. Longitudinal stability augmentation control for turbojet UAV based on linear quadratic regulator (LQR) approach. In: Proceedings of the 3RD international seminar on metallurgy and materials (ISMM2019): Exploring new innovation in metallurgy and materials, vol. 2232. (April):ISBN: 9780735419858, 2020, 020013. – volume: 50 start-page: 1217 year: 2014 end-page: 1226 ident: b19 article-title: A low-complexity global approximation-free control scheme with prescribed performance for unknown pure feedback systems publication-title: Automatica – year: 2018 ident: b21 article-title: Improved prescribed performance control for air-breathing hypersonic vehicles with unknown deadzone input nonlinearity publication-title: Isa Trans – volume: 79 start-page: 95 year: 2018 end-page: 107 ident: b39 article-title: Improved prescribed performance control for air-breathing hypersonic vehicles with unknown deadzone input nonlinearity publication-title: ISA Trans – start-page: 1840 year: 2013 end-page: 1844 ident: b12 article-title: Analysis of adaptive control using on-line neural networks for a quadrotor UAV publication-title: 2013 13th International conference on control, automation and systems – year: 1981 ident: b40 article-title: Applications of centre manifold theory – year: 1948 ident: b26 article-title: A mathematical theory of communication bell syst – volume: 7 start-page: 1818 year: 2013 end-page: 1827 ident: b38 article-title: Improved prescribed performance constraint control for a strict feedback non-linear dynamic system publication-title: IET Control Theory Appl – year: 1989 ident: b41 article-title: Perspectives of nonlinear dynamics, vol. 1 – year: 2020 ident: b1 article-title: Distributed approach for aerodynamic model identification of the ICE aircraft – volume: 29 start-page: 6 year: 2021 ident: b28 article-title: Immediate impact of extremity manipulation on dual task performance: a randomized, crossover clinical trial publication-title: Chiropr Man Ther – reference: Niestroy MA, Dorsett KM, Markstein K. A tailless fighter aircraft model for control-related research and development. In: AIAA modeling and simulation technologies conference, 2017. (January):ISBN: 9781624104510, 2017, p. 1–18. – year: 2018 ident: b14 article-title: Fuzzy adaptive nonlinear sensor-fault tolerant control for a quadrotor unmanned aerial vehicle publication-title: Asian J Control – volume: 138 year: 2020 ident: b6 article-title: Model predictive control of three-axis gimbal system mounted on UAV for real-time target tracking under external disturbances publication-title: Mech Syst Signal Process – volume: 15 start-page: 1453 year: 2020 end-page: 1461 ident: b11 article-title: Nonlinear disturbance observer based sliding mode control of quadrotor helicopter publication-title: J Electr Eng Technol – volume: 95 start-page: 194 year: 2019 end-page: 210 ident: b10 article-title: Auto-landing of fixed wing unmanned aerial vehicles using the backstepping control publication-title: ISA Trans – reference: Altan A. Performance of Metaheuristic Optimization Algorithms based on Swarm Intelligence in Attitude and Altitude Control of Unmanned Aerial Vehicle for Path Following. In: 2020 4th International symposium on multidisciplinary studies and innovative technologies. 2020, p. 1–6. – volume: 278 start-page: H2039 year: 2000 ident: b31 article-title: Physiological time-series analysis using approximate entropy and sample entropy. publication-title: Am J Physiol Heart Circul Physiol – volume: 30 start-page: 120 year: 2006 end-page: 129 ident: b23 article-title: Optimal movement variability: a new theoretical perspective for neurologic physical therapy publication-title: Pre – reference: . – year: 2021 ident: b4 article-title: Adaptive trajectory tracking control for rotorcraft using incremental backstepping sliding mode control strategy publication-title: Int J Aerosp Eng – reference: Altan A, Aslan O, Hacioglu R. Real-Time Control based on NARX Neural Network of Hexarotor UAV with Load Transporting System for Path Tracking. In: 2018 6th international conference on control engineering & information technology. 2018, p. 1–6. – volume: 439 start-page: 271 year: 2019 end-page: 286 ident: b32 article-title: A fault diagnosis method for planetary gearboxes under non-stationary working conditions using improved Vold-Kalman filter and multi-scale sample entropy publication-title: J Sound Vib – start-page: 107 year: 2017 ident: b34 article-title: Nonlinear control allocation for a high-performance tailless aircraft with innovative control effectors - An incremental robust approach – volume: 29 start-page: 1769 year: 2019 end-page: 1788 ident: b22 article-title: Improved prescribed performance control for nonaffine pure-feedback systems with input saturation publication-title: Internat J Robust Nonlinear Control – volume: 66 start-page: 193 year: 2017 end-page: 202 ident: b37 article-title: Adaptive non-affine control for the short-period model of a generic hypersonic flight vehicle publication-title: Aerosp Sci Technol – volume: 116 year: 2021 ident: b5 article-title: Extended incremental nonlinear dynamic inversion for optical flow control of micro air vehicles publication-title: Aerosp Sci Technol – start-page: 142 year: 2017 ident: b3 article-title: Minimum drag control allocation for the innovative control effector aircraft – start-page: 305 year: 2020 end-page: 326 ident: b8 article-title: PID control of multi-rotor unmanned aerial vehicles publication-title: PID Control system design and automatic tuning using MATLAB/Simulink – volume: 24 3 start-page: 181 year: 2020 end-page: 189 ident: b24 article-title: A new perspective for somatic dysfunction in osteopathy: the variability model. publication-title: J Bodywork Mov Ther – reference: Wang S, Li Y. A Novel Nonlinear Analysis Tool: Multi-scale Symbolic Sample Entropy and Its Application in Condition Monitoring of Rotary Machinery. In: 2020 Asia-pacific international symposium on advanced reliability and maintenance modeling. 2020, p. 1–5. – volume: 68 start-page: 111 year: 2016 end-page: 119 ident: b25 article-title: Revealing the quality of movement: A meta-analysis review to quantify the thresholds to pathological variability during standing and walking publication-title: Neurosci Biobehav Rev – volume: 17 start-page: 589 year: 1970 end-page: 602 ident: b43 article-title: A new method of interpolation and smooth curve fitting based on local procedures publication-title: J ACM – reference: Voronych A, Nykolaychuk L, Grynchyshyn T, Hryha V, Nykolaychuk Y. Development of Theory, Scope and Tools for Entropy Signals and Data Processing. In: 2020 10th International conference on advanced computer information technologies. 2020. – ident: 10.1016/j.isatra.2022.04.041_b35 doi: 10.2514/6.2017-1757 – volume: 278 start-page: H2039 issue: 6 year: 2000 ident: 10.1016/j.isatra.2022.04.041_b31 article-title: Physiological time-series analysis using approximate entropy and sample entropy. publication-title: Am J Physiol Heart Circul Physiol doi: 10.1152/ajpheart.2000.278.6.H2039 – volume: 79 start-page: 95 issn: 00190578 issue: May year: 2018 ident: 10.1016/j.isatra.2022.04.041_b39 article-title: Improved prescribed performance control for air-breathing hypersonic vehicles with unknown deadzone input nonlinearity publication-title: ISA Trans doi: 10.1016/j.isatra.2018.05.008 – ident: 10.1016/j.isatra.2022.04.041_b20 doi: 10.1109/ISMSIT50672.2020.9255181 – volume: 95 start-page: 194 issn: 00190578 year: 2019 ident: 10.1016/j.isatra.2022.04.041_b10 article-title: Auto-landing of fixed wing unmanned aerial vehicles using the backstepping control publication-title: ISA Trans doi: 10.1016/j.isatra.2019.05.019 – volume: 50 start-page: 1217 issue: 4 year: 2014 ident: 10.1016/j.isatra.2022.04.041_b19 article-title: A low-complexity global approximation-free control scheme with prescribed performance for unknown pure feedback systems publication-title: Automatica doi: 10.1016/j.automatica.2014.02.020 – volume: 15 start-page: 1453 issue: 3 year: 2020 ident: 10.1016/j.isatra.2022.04.041_b11 article-title: Nonlinear disturbance observer based sliding mode control of quadrotor helicopter publication-title: J Electr Eng Technol doi: 10.1007/s42835-020-00421-w – issue: 10 year: 2021 ident: 10.1016/j.isatra.2022.04.041_b29 article-title: ”Unrest while resting”? Brain entropy in autism spectrum disorder publication-title: Brain Res – volume: 53 start-page: 2090 issue: 9 year: 2008 ident: 10.1016/j.isatra.2022.04.041_b16 article-title: Robust adaptive control of feedback linearizable MIMO nonlinear systems with prescribed performance publication-title: IEEE Trans Automat Control doi: 10.1109/TAC.2008.929402 – start-page: 305 year: 2020 ident: 10.1016/j.isatra.2022.04.041_b8 article-title: PID control of multi-rotor unmanned aerial vehicles – volume: 33 start-page: 74 issue: 1 year: 2019 ident: 10.1016/j.isatra.2022.04.041_b13 article-title: Identification and adaptive PID control of a hexacopter UAV based on neural networks publication-title: Internat J Adapt Control Signal Process doi: 10.1002/acs.2955 – volume: 138 year: 2020 ident: 10.1016/j.isatra.2022.04.041_b6 article-title: Model predictive control of three-axis gimbal system mounted on UAV for real-time target tracking under external disturbances publication-title: Mech Syst Signal Process doi: 10.1016/j.ymssp.2019.106548 – year: 2018 ident: 10.1016/j.isatra.2022.04.041_b21 article-title: Improved prescribed performance control for air-breathing hypersonic vehicles with unknown deadzone input nonlinearity publication-title: Isa Trans doi: 10.1016/j.isatra.2018.05.008 – volume: 68 start-page: 111 year: 2016 ident: 10.1016/j.isatra.2022.04.041_b25 article-title: Revealing the quality of movement: A meta-analysis review to quantify the thresholds to pathological variability during standing and walking publication-title: Neurosci Biobehav Rev doi: 10.1016/j.neubiorev.2016.03.035 – volume: 24 3 start-page: 181 year: 2020 ident: 10.1016/j.isatra.2022.04.041_b24 article-title: A new perspective for somatic dysfunction in osteopathy: the variability model. publication-title: J Bodywork Mov Ther doi: 10.1016/j.jbmt.2020.03.008 – ident: 10.1016/j.isatra.2022.04.041_b2 doi: 10.2514/6.2018-1116 – start-page: 1 year: 2021 ident: 10.1016/j.isatra.2022.04.041_b17 article-title: Adaptive finite-time prescribed performance control for stochastic nonlinear systems with unknown virtual control coefficients publication-title: Nonlinear Dynam – year: 1948 ident: 10.1016/j.isatra.2022.04.041_b26 – volume: 7 start-page: 1818 issue: 14 year: 2013 ident: 10.1016/j.isatra.2022.04.041_b38 article-title: Improved prescribed performance constraint control for a strict feedback non-linear dynamic system publication-title: IET Control Theory Appl doi: 10.1049/iet-cta.2013.0181 – year: 1989 ident: 10.1016/j.isatra.2022.04.041_b41 – volume: 32 start-page: 1675 issue: 12 year: 2018 ident: 10.1016/j.isatra.2022.04.041_b15 article-title: A fuzzy adaptive backstepping control based on mass observer for trajectory tracking of a quadrotor UAV publication-title: Internat J Adapt Control Signal Process doi: 10.1002/acs.2937 – start-page: 107 year: 2017 ident: 10.1016/j.isatra.2022.04.041_b34 – year: 2020 ident: 10.1016/j.isatra.2022.04.041_b1 – start-page: 142 year: 2017 ident: 10.1016/j.isatra.2022.04.041_b3 – year: 2009 ident: 10.1016/j.isatra.2022.04.041_b36 article-title: Reconfigurable delta operator eigenstructure assignment for a tailless aircraft – year: 2021 ident: 10.1016/j.isatra.2022.04.041_b4 article-title: Adaptive trajectory tracking control for rotorcraft using incremental backstepping sliding mode control strategy publication-title: Int J Aerosp Eng doi: 10.1155/2021/4945642 – ident: 10.1016/j.isatra.2022.04.041_b7 doi: 10.1109/CEIT.2018.8751829 – volume: 30 start-page: 120 issue: 3 year: 2006 ident: 10.1016/j.isatra.2022.04.041_b23 article-title: Optimal movement variability: a new theoretical perspective for neurologic physical therapy publication-title: Pre – ident: 10.1016/j.isatra.2022.04.041_b33 doi: 10.1109/APARM49247.2020.9209495 – volume: 29 start-page: 6 issue: 1 year: 2021 ident: 10.1016/j.isatra.2022.04.041_b28 article-title: Immediate impact of extremity manipulation on dual task performance: a randomized, crossover clinical trial publication-title: Chiropr Man Ther doi: 10.1186/s12998-021-00366-5 – year: 1981 ident: 10.1016/j.isatra.2022.04.041_b40 – ident: 10.1016/j.isatra.2022.04.041_b30 doi: 10.1109/ACIT49673.2020.9208912 – volume: 116 year: 2021 ident: 10.1016/j.isatra.2022.04.041_b5 article-title: Extended incremental nonlinear dynamic inversion for optical flow control of micro air vehicles publication-title: Aerosp Sci Technol doi: 10.1016/j.ast.2021.106889 – start-page: 102 year: 1998 ident: 10.1016/j.isatra.2022.04.041_b42 – year: 2018 ident: 10.1016/j.isatra.2022.04.041_b14 article-title: Fuzzy adaptive nonlinear sensor-fault tolerant control for a quadrotor unmanned aerial vehicle publication-title: Asian J Control – volume: 41 start-page: 349 issue: 2 year: 2013 ident: 10.1016/j.isatra.2022.04.041_b27 article-title: The appropriate use of approximate entropy and sample entropy with short data sets publication-title: Ann Biomed Eng doi: 10.1007/s10439-012-0668-3 – volume: 439 start-page: 271 issn: 10958568 year: 2019 ident: 10.1016/j.isatra.2022.04.041_b32 article-title: A fault diagnosis method for planetary gearboxes under non-stationary working conditions using improved Vold-Kalman filter and multi-scale sample entropy publication-title: J Sound Vib doi: 10.1016/j.jsv.2018.09.054 – volume: 66 start-page: 193 issn: 12709638 year: 2017 ident: 10.1016/j.isatra.2022.04.041_b37 article-title: Adaptive non-affine control for the short-period model of a generic hypersonic flight vehicle publication-title: Aerosp Sci Technol doi: 10.1016/j.ast.2017.03.005 – ident: 10.1016/j.isatra.2022.04.041_b9 doi: 10.1063/5.0002786 – volume: 17 start-page: 589 issn: 1557735X issue: 4 year: 1970 ident: 10.1016/j.isatra.2022.04.041_b43 article-title: A new method of interpolation and smooth curve fitting based on local procedures publication-title: J ACM doi: 10.1145/321607.321609 – volume: 29 start-page: 1769 issn: 10991239 issue: 6 year: 2019 ident: 10.1016/j.isatra.2022.04.041_b22 article-title: Improved prescribed performance control for nonaffine pure-feedback systems with input saturation publication-title: Internat J Robust Nonlinear Control doi: 10.1002/rnc.4466 – volume: PP start-page: 1 issue: 99 year: 2021 ident: 10.1016/j.isatra.2022.04.041_b18 article-title: Disturbance observer-based adaptive fuzzy control for strict-feedback nonlinear systems with finite-time prescribed performance publication-title: IEEE Trans Fuzzy Syst – start-page: 1840 year: 2013 ident: 10.1016/j.isatra.2022.04.041_b12 article-title: Analysis of adaptive control using on-line neural networks for a quadrotor UAV |
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| SubjectTerms | Algorithms Computer Simulation Feedback Neural Networks, Computer Nonlinear Dynamics Prescribed performance control Sample entropy Tailless aircraft |
| Title | Sample entropy based prescribed performance control for tailless aircraft |
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