Model predictive control for switched systems with a novel mixed time/event-triggering mechanism
This paper investigates observer-based model predictive control (MPC) for switched systems with a mixed time/event-triggering mechanism. The problem of predictive control that can achieve receding horizon optimization is considered and solved by minimizing an upper bound of the quadratic cost functi...
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| Published in | Nonlinear analysis. Hybrid systems Vol. 42; p. 101081 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier Ltd
01.11.2021
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| Subjects | |
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| Abstract | This paper investigates observer-based model predictive control (MPC) for switched systems with a mixed time/event-triggering mechanism. The problem of predictive control that can achieve receding horizon optimization is considered and solved by minimizing an upper bound of the quadratic cost function. Since the system state may not be fully measured in practice, state observers are employed to estimate. A mixed mechanism including adaptive event-triggering and time-triggering is proposed, which can be switched determined by a threshold describing system performance to better balance system resource utilization and performance requirements. Then, a closed-loop switched system subject to networked-time-delay is modeled. Piecewise Lyapunov function technique and average dwell time approach are utilized to ensure asymptotical stability. Afterwards, MPC controller construction problem is turned into a LMIs feasibility problem. A new solving method of sufficient conditions for co-design of the state observers, feedback controllers and mixed triggering mechanism is derived. Lastly, simulation examples illustrate the correctness and advantages of research content. |
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| AbstractList | This paper investigates observer-based model predictive control (MPC) for switched systems with a mixed time/event-triggering mechanism. The problem of predictive control that can achieve receding horizon optimization is considered and solved by minimizing an upper bound of the quadratic cost function. Since the system state may not be fully measured in practice, state observers are employed to estimate. A mixed mechanism including adaptive event-triggering and time-triggering is proposed, which can be switched determined by a threshold describing system performance to better balance system resource utilization and performance requirements. Then, a closed-loop switched system subject to networked-time-delay is modeled. Piecewise Lyapunov function technique and average dwell time approach are utilized to ensure asymptotical stability. Afterwards, MPC controller construction problem is turned into a LMIs feasibility problem. A new solving method of sufficient conditions for co-design of the state observers, feedback controllers and mixed triggering mechanism is derived. Lastly, simulation examples illustrate the correctness and advantages of research content. |
| ArticleNumber | 101081 |
| Author | Yu, Wenke Huang, Jie Yu, Yang Qi, Yiwen |
| Author_xml | – sequence: 1 givenname: Yiwen surname: Qi fullname: Qi, Yiwen email: qiyiwen@sau.edu.cn organization: School of Automation, Shenyang Aerospace University, Shenyang 110136, China – sequence: 2 givenname: Wenke surname: Yu fullname: Yu, Wenke email: ywkoala@163.com organization: School of Automation, Shenyang Aerospace University, Shenyang 110136, China – sequence: 3 givenname: Jie orcidid: 0000-0001-7346-5034 surname: Huang fullname: Huang, Jie email: jie.huang@fzu.edu.cn organization: School of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350108, China – sequence: 4 givenname: Yang surname: Yu fullname: Yu, Yang email: ergejiayu@126.com organization: School of Automation, Shenyang Aerospace University, Shenyang 110136, China |
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| Keywords | Switched systems Model predictive control Mixed time/event-triggering mechanism Average dwell time |
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| SubjectTerms | Average dwell time Mixed time/event-triggering mechanism Model predictive control Switched systems |
| Title | Model predictive control for switched systems with a novel mixed time/event-triggering mechanism |
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