Event-Triggered Optimal Control for Discrete-Time Switched Nonlinear Systems With Constrained Control Input

Han, Xiumei; Zhao, Xudong; Sun, Tao; Wu, Yuhu; Xu, Ning; Zong, Guangdeng

doi:10.1109/tsmc.2020.2987136

Cited by 45 publications

(24 citation statements)

References 45 publications

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“…For example, by introducing an internal dynamic variable, a distributed Zeno‐free dynamic ET method which prolonged the interevent time was constructed in Reference 45. In Reference 46, an ET condition was given to make the system asymptotically stable, and an optimal control strategy was designed based on the ET heuristic dynamic programming. The authors in Reference 47 designed a logistic ET scheme, and the triggered threshold could be adaptively adjusted based on the current triggering information.…”

Section: Introductionmentioning

confidence: 99%

A data‐based event‐triggered control for switching topology nonlinear multiagent systems with DoS attacks

Liu

Cao

Liang

et al. 2023

Intl J Robust & Nonlinear

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Summary In this paper, a secure cooperative control strategy which integrates the data‐driven control method and the backstepping framework is proposed for a class of discrete‐time nonlinear multiagent systems with denial‐of‐service (DoS) attacks. First, by designing special index functions, we overcome the algebraic loop problem in the backstepping framework to propose a data‐driven backstepping control method which does not use the Lyapunov theory to design the controller. Second, the problem of DoS attacks in communication channels is solved by switching topology strategy. Then, an event‐triggered mechanism based on synchronization error is used to save communication resources, which does not have a great negative impact on the control performance. Moreover, an event‐triggered cooperative strategy is constructed to ensure that all signals and tracking errors of the closed‐loop system are bounded. Finally, two simulation examples verify the effectiveness of the proposed control scheme.

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Section: Introductionmentioning

confidence: 99%

A data‐based event‐triggered control for switching topology nonlinear multiagent systems with DoS attacks

Liu

Cao

Liang

et al. 2023

Intl J Robust & Nonlinear

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“…Recently, event-triggered control (ETC), as a control strategy with aperiodic transmission characteristics, has been widely used in bandwidth-limited network control systems. [24][25][26][27] Under the event-triggering mechanism (ETM), a controller updates its value only at triggering instants that are determined by a predefined triggering condition, which effectively reduces the communication burden of a plant. In References 28-30, the adaptive fuzzy/neural control problem of nonlinear strict-feedback systems was discussed within the ETC architecture.…”

Section: Introductionmentioning

confidence: 99%

Command filtering‐based adaptive neural network control for uncertain switched nonlinear systems using event‐triggered communication

Chen

Niu

Zhang

et al. 2022

Intl J Robust & Nonlinear

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In this article, a command filtering‐based adaptive event‐triggered neural network control scheme is proposed for a class of uncertain switched nonlinear systems with unknown control coefficient and input saturation. First, radial basis function neural networks are used as function approximators to estimate unknown nonlinear functions. Then, an event‐triggering mechanism based on the tracking error is introduced to avoid the over‐consumption of communication resources. Furthermore, command filters are employed to solve the problem of complexity explosion that exists in conventional backstepping control design, and the error compensation signals are designed to reduce the errors caused by the filters. Considering that the unknown control gain and input saturation exist in many practical applications, a Nussbaum‐type function is thus introduced into the controller design to address these challenging issues. Finally, stability of the closed‐loop system is strictly proven under a standard Lyapunov stability analysis framework. The effectiveness of the proposed control scheme is illustrated by a simulation example.

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“…Because of its important theoretical and practical significance, many practical mathematical models can be modeled by switched systems. In recent years, analysis and synthesis of switched systems, especially the stability analysis and the design of switching signals, have been widely concerned in References 15, 25‐28, 29, and 30. To list a few, the authors in Reference 31 have research the tracking control issue of switched nonlinear systems with discrete‐time subsystems.…”

Section: Introductionmentioning

confidence: 99%

Adaptive tracking control of time‐varying delay switched nonstrict‐feedback nonlinear systems with unknown backlash‐like hysteresis

Chen

Xue

et al. 2022

Adaptive Control & Signal

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In this article, the adaptive tracking control issue is addressed for uncertain switched nonstrict-feedback nonlinear systems with unknown time-varying delay and backlash-like hysteresis under neural networks (NNs) estimation framework. In contrast to most existing results of nonlinear systems with time-delay, the time-varying delay we consider depends entirely on the number of switching subsystems. Based on the inherent properties of radial basis function NNs, the nonstrict-feedback structure is effectively compensated. Meanwhile, with the help of the combination of Razumikhin function method, adaptive backstepping scheme, and dynamic surface control approach, the quadratic common Lyapunov function is established for all subsystems, and then an adaptive common control strategy is developed. For arbitrary switching signals, it is shown that all the signals in the closed-loop system can be remained bounded and the system output can follow a desired signal under the designed controller. Finally, the validity of the presented strategy is verified via two simulation examples.

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Event-Triggered Optimal Control for Discrete-Time Switched Nonlinear Systems With Constrained Control Input

Cited by 45 publications

References 45 publications

A data‐based event‐triggered control for switching topology nonlinear multiagent systems with DoS attacks

A data‐based event‐triggered control for switching topology nonlinear multiagent systems with DoS attacks

Command filtering‐based adaptive neural network control for uncertain switched nonlinear systems using event‐triggered communication

Adaptive tracking control of time‐varying delay switched nonstrict‐feedback nonlinear systems with unknown backlash‐like hysteresis

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