Jingbo Zhao
ABSTRACT
Solve problems such as input dead zones and full state constraints in uncertain nonlinear systems. Firstly, based on backstepping control, neural networks, and symmetric obstacle Lyapunov functions, a basic nonlinear controller was designed and filtered through a command filter. Then, an adaptive trigger controller was designed to compensate for dead zones and suppress interference. To achieve system stability. And ensure that all system states do not violate predefined constraint intervals. In this method, the fixed time stability theory is introduced to ensure the boundedness of all signals in the closed-loop system, as well as the fixed time convergence of tracking errors to bounded compact sets, and to reduce the communication burden of the system. Finally, the effectiveness of the control method was verified through simulation examples.
- He K, Dong C, Wang Q. Active disturbance rejection adaptive control for uncertain nonlinear systems with unknown time‐varying dead‐zone input[J]. Asian Journal of Control, 2022, 24(3): 1209-1222.Google Scholar
Digital Library
- Lv W, Wang F, Zhang L. Adaptive fuzzy finite-time control for uncertain nonlinear systems with dead-zone input[J]. International Journal of Control, Automation and Systems, 2018, 16: 2549-2558.Google ScholarCross Ref
- Huang C, Liu Z, Chen C L P, Adaptive neural asymptotic control for uncertain nonlinear multiagent systems with a fuzzy dead zone constraint[J]. Fuzzy Sets and Systems, 2022, 432: 152-167.Google ScholarDigital Library
- Liu Y, Ma H. Adaptive tracking control of stochastic switched nonlinear systems with unknown dead‐zone output[J]. International Journal of Robust and Nonlinear Control, 2021, 31(10): 4511-4530.Google ScholarCross Ref
- Li H, Zhao S, He W, Adaptive finite-time tracking control of full state constrained nonlinear systems with dead-zone[J]. Automatica, 2019, 100: 99-107.Google ScholarCross Ref
- Chen Y, Liu Z, Chen C L P, Adaptive fuzzy control of switched nonlinear systems with uncertain dead-zone: A mode-dependent fuzzy dead-zone model[J]. Neurocomputing, 2021, 432: 133-144.Google ScholarCross Ref
- Ning X, Zhang Y, Wang Z, BLS-based adaptive fault tolerant control for a class of space unmanned systems with time-varying state constraints and input nonlinearities[J]. European Journal of Control, 2021, 61: 1-12.Google ScholarCross Ref
- Zhao L, Liu G, Yu J. Finite-time adaptive fuzzy tracking control for a class of nonlinear systems with full-state constraints[J]. IEEE Transactions on Fuzzy Systems, 2020, 29(8): 2246-2255.Google ScholarCross Ref
- Y, Zong G, Yang D, Finite‐time adaptive tracking control for a class of nonstrict feedback nonlinear systems with full state constraints[J]. International Journal of Robust and Nonlinear Control, 2022, 32(5): 2551-2569.Google ScholarCross Ref
- Li M, Chen H, Zhang R. An input dead zones considered adaptive fuzzy control approach for double pendulum cranes with variable rope lengths[J]. IEEE/ASME Transactions on Mechatronics, 2022, 27(5): 3385-3396.Google ScholarCross Ref
- Y, Xia J, Yang W, Adaptive fuzzy tracking control for stochastic nonlinear systems with nonstrict-feedback and dead zone[J]. International Journal of Fuzzy Systems, 2021, 23: 2324-2334.Google ScholarCross Ref
- Su W, Niu B, Wang H, Adaptive neural network asymptotic tracking control for a class of stochastic nonlinear systems with unknown control gains and full state constraints[J]. International Journal of Adaptive Control and Signal Processing, 2021, 35(10): 2007-2024.Google ScholarDigital Library
- Li Y, Niu B, Zong G, Command filter-based adaptive neural finite-time control for stochastic nonlinear systems with time-varying full-state constraints and asymmetric input saturation[J]. International Journal of Systems Science, 2022, 53(1): 199-221.Google ScholarCross Ref
- Wang J, Zhang H, Ma K, Neural adaptive self-triggered control for uncertain nonlinear systems with input hysteresis[J]. IEEE transactions on neural networks and learning systems, 2021, 33(11): 6206-6214.Google Scholar
- Li H, Zhao S, He W, Adaptive finite-time tracking control of full state constrained nonlinear systems with dead-zone[J]. Automatica, 2019, 100: 99-107.Google ScholarCross Ref
- Sun Y, Chen B, Lin C, Finite-time adaptive control for a class of nonlinear systems with nonstrict feedback structure[J]. IEEE transactions on cybernetics, 2017, 48(10): 2774-2782.Google Scholar
- Farrell J A, Polycarpou M, Sharma M, Command filtered backstep**[J]. IEEE Transactions on Automatic Control, 2009, 54(6): 1391-1395.Google ScholarCross Ref
- Dong W, Farrell J A, Polycarpou M M, Command filtered adaptive backstep**[J]. IEEE Transactions on Control Systems Technology, 2011, 20(3): 566-580.Google ScholarCross Ref
- Wang H, Kang S, Zhao X, Command filter-based adaptive neural control design for nonstrict-feedback nonlinear systems with multiple actuator constraints[J]. IEEE Transactions on Cybernetics, 2021, 52(11): 12561-12570.Google ScholarCross Ref
- Liu Y, Zhu Q. Adaptive neural network asymptotic control design for MIMO nonlinear systems based on event-triggered mechanism[J]. Information Sciences, 2022, 603: 91-105.Google ScholarDigital Library
- Peng C, Li F. A survey on recent advances in event-triggered communication and control[J]. Information Sciences, 2018, 457: 113-125.Google ScholarDigital Library
- Zhang G, Chu S, Li J, Improved event-triggered robust adaptive control for marine vehicle with the fault compensating mechanism[J]. Ocean Engineering, 2022, 263: 112260.Google ScholarCross Ref
- Fan L R, Wang F, Zhou C, Adaptive event-triggered control for multi-agent systems with state time-delays and full state constraints[J]. Control and Decision, 2022, 37(04): 892-902.Google Scholar
- Chen M, Wang H, Liu X. Adaptive practical fixed-time tracking control with prescribed boundary constraints[J]. IEEE Transactions on Circuits and Systems I: Regular Papers, 2021, 68(4): 1716-1726.Google ScholarCross Ref
- Li Y, Zhang J, Ye X, Adaptive fixed-time control of strict-feedback high-order nonlinear systems[J]. Entropy, 2021, 23(8): 963.Google ScholarCross Ref
- Zhang J, Li Y, Fei W. Neural network-based nonlinear fixed-time adaptive practical tracking control for quadrotor unmanned aerial vehicles[J]. Complexity, 2020, 2020: 1-13.Google Scholar
Index Terms
- Fixed time stable event triggered control of uncertain nonlinear systems under input dead zone and full state constraints
Recommendations
Sliding mode disturbance observer-based adaptive control for uncertain MIMO nonlinear systems with dead-zone
In this paper, an adaptive integral sliding mode control ISMC scheme is developed for a class of uncertain multi-input and multi-output nonlinear systems with unknown external disturbance, system uncertainty, and dead-zone. The research is motivated by ...
Fixed-time almost disturbance decoupling of nonlinear time-varying systems with multiple disturbances and dead-zone input
This paper is the first to involve the fixed-time almost disturbance decoupling problem of nonlinear time-varying systems with multiple disturbances and dead-zone input.The assumption made on the nonlinear terms is further relaxed and a fixed-time state ...
Adaptive fuzzy control for multi-input multi-output nonlinear systems with unknown dead-zone inputs
Graphical abstractOverall scheme of the adaptive fuzzy control. Display Omitted HighlightsThe adaptive fuzzy control is proposed for MIMO nonlinear systems with unknown dead-zone inputs.The symmetric matrix decomposition technique is used to design the ...
Comments