Neuroadaptive learning algorithm for constrained nonlinear systems with disturbance rejection

• Published in: International journal of robust and nonlinear control Vol. 32; no. 10; pp. 6127 - 6147
• Main Authors: Yang, Guichao, Yao, Jianyong, Dong, Zhenle
• Format: Journal Article
• Language: English
• Published: Hoboken, USA John Wiley & Sons, Inc 10.07.2022; Wiley Subscription Services, Inc
• Subjects: Adaptive control; Algorithms; Constraints; Control theory; Disturbances; extended state observer; Liapunov functions; Machine learning; Neural networks; Nonlinear systems; Nonlinearity; preset performance; Rejection; saturation nonlinearity; state constraints; State observers
• ISSN: 1049-8923; 1099-1239
• DOI: 10.1002/rnc.6143

For practical plants, there are not only inevitable endogenous and exogenous disturbances, but also constraint demands for control input amplitude, output performance, and system states. The existing controllers are difficult to handle the aforementioned control issues simultaneously and may be affe...