Robust Optimal Control Scheme for Unknown Constrained-Input Nonlinear Systems via a Plug-n-Play Event-Sampled Critic-Only Algorithm

Zhang, Huaguang; Zhang, Kun; Xiao, Geyang; Jiang, He

doi:10.1109/tsmc.2018.2889377

Cited by 84 publications

(27 citation statements)

References 47 publications

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“…To solve this problem, an online identification technique is introduced in Reference 16, where an NN based identification model is proposed via input–output date to reconstruct the unknown dynamics and a robust optimal controller is built for a class of nonlinear systems. Consider partial model unknown, Reference 17 proposes a robust optimal control method for finite‐horizon two‐player zero‐sum differential games, in which a plug‐n‐play identifier is introduced to reconstruct the unknown model.…”

Section: Introductionmentioning

confidence: 99%

“…In order to resist the denial‐of‐service attacks, a resilient ET control approach is introduced in Reference 29 and a control input‐based ET control strategy is investigated in Reference 30. Due to the wide applicability, ET mechanism has been employed in various control fields, such as optimal control, 16‐18 sliding mode control, 31 backstepping strategy, 32 adaptive control, 33 and so on. In particular, the control algorithm integrating optimal theory and ET mechanism can not only have optimal performance but also save the communication resources, which has great research value.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Distributed optimal event‐triggered cooperative control for nonlinear multi‐missile guidance systems with partially unknown dynamics

Gao

Liu

Duan

et al. 2022

Intl J Robust & Nonlinear

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This article is concerned with the design of a novel distributed optimal event-triggered (ET) cooperative control strategy for nonlinear multi-missile guidance systems under the condition of partially unknown dynamics via adaptive dynamics programming. First, an improved online-identifier is proposed to reconstruct the unknown dynamics based on the data-driven mechanism in which an adaptive compensation term is introduced. The identification residual error is counteracted and the priori identification information is not required.In order to solve the Hamilton-Jacobi-Bellman equation, a single critic neural network (CNN) is utilized to approximate the online solutions and helps calculate the control policy. Then, the uniformly ultimately bounded for the ET closed-loop system and the CNN weight error are proved by utilizing Lyapunov theory. Finally, the application to the multi-missile guidance systems with simultaneous impact consideration validates all missiles can hit the target simultaneously and indicates the effectiveness of the designed approach.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Distributed optimal event‐triggered cooperative control for nonlinear multi‐missile guidance systems with partially unknown dynamics

Gao

Liu

Duan

et al. 2022

Intl J Robust & Nonlinear

View full text Add to dashboard Cite

show abstract

“…There are different methods for dealing with robust OCP, such as integral averaging [7] , adjustable uncertainty sets [8] , adaptive dynamic programming [9] , and neural networks [10] . In this paper, a spectral approach is employed to formulate and solve robust OCP for compartmental epidemic models, which allows the uncertainty propagation through the optimal control model to be represented by means of a polynomial expansion of its stochastic state variables.…”

Section: Introductionmentioning

confidence: 99%

Robust optimal control of compartmental models in epidemiology: Application to the COVID-19 pandemic

Olivares

Staffetti

2022

Communications in Nonlinear Science and Numerical Simulation

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“…To deal with the scarcity of communication resources and reduce the computing burden, a new communication protocol called event‐triggered mechanism was proposed and a great number of results have been reported, see References 12‐14. Several typical event‐triggered strategies by improving triggered condition have been developed in the literature 15‐20 .…”

Section: Introductionmentioning

confidence: 99%

Observer‐based adaptive event‐triggered PID control for networked systems under aperiodic DoS attacks

Peng

2021

Intl J Robust & Nonlinear

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In the present article, the observer‐based proportional integral derivative (PID) security control problem is investigated for a networked system subject to aperiodic denial‐of‐service (DoS) attacks. First, by carefully modeling cyberattacks as aperiodic DoS attacks, a suitable switching observer is constructed to solve the state reconstruction problem. Second, to improve the utilization of network resources while resisting the impact of attacks, an adaptive event‐triggered communication protocol is introduced, whose trigger parameters can be dynamically adjusted according to the set learning rules. Third, based on the above analysis, an error switching system model is established, which describes the impact of the adaptive triggered protocol and aperiodic attacks in a unified framework. Then, by employing the switched system analysis method, sufficient conditions are obtained to ensure the error switched system being asymptotically stable. Furthermore, by means of orthogonal decomposition technique, a codesign method of the observer gains, triggered parameter, and PID controller gains is given. Finally, a simulation example is provided to illustrate the efficiency and applicability of the obtained results.

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Robust Optimal Control Scheme for Unknown Constrained-Input Nonlinear Systems via a Plug-n-Play Event-Sampled Critic-Only Algorithm

Cited by 84 publications

References 47 publications

Distributed optimal event‐triggered cooperative control for nonlinear multi‐missile guidance systems with partially unknown dynamics

Distributed optimal event‐triggered cooperative control for nonlinear multi‐missile guidance systems with partially unknown dynamics

Robust optimal control of compartmental models in epidemiology: Application to the COVID-19 pandemic

Observer‐based adaptive event‐triggered PID control for networked systems under aperiodic DoS attacks

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