Event-triggered output feedback control for feedforward nonlinear systems with unknown measurement sensitivity

Chang, Yanjie; Zhang, Xianfu; Shuai, Liu; Kong, Lingyu

doi:10.1007/s11071-021-06501-4

Cited by 23 publications

(14 citation statements)

References 27 publications

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“…Assumption 1 is a typical restriction in the form of upper triangular, in which the states in the nonlinear functions are linear growthing. Some similar conditions can be seen in much literature, such as [30][31][32][33] and so on. Under Assumptions 2 and 3, the object function g i is strongly convex and has a unique global minimizer.…”

Section: Preliminaries and Problem Formulationsupporting

confidence: 54%

Distributed Optimization for Nonlinear Multi-Agent Systems with Upper-Triangular Structure

Meng

Zhou

2022

Preprint

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The distributed optimization for nonlinear multi-agent systems in the form of upper-triangular is considered in this paper. To handle this issue, a new two-step framework is proposed to derive distributed controllers, under which the system outputs are consistent with the optimal solution. Using the real-time values of gradient functions, the distributed optimal coordinators are established to produce signals approaching the optimal solution. Then, by developing the feedback domination approach, the reference-tracking controllers are designed with the help of a low-gain parameter, which can globally asymptotically stabilize the nonlinear multi-agent systems. Finally, an example is simulated to illustrate the main idea.

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Section: Preliminaries and Problem Formulationsupporting

confidence: 54%

Distributed Optimization for Nonlinear Multi-Agent Systems with Upper-Triangular Structure

Meng

Zhou

2022

Preprint

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“…We consider a nonlinear LLC (circuit system that has two inductors and one capacitor) resonant circuit system 3,16,19 with uncertain time-varying parameters shown in Figure 2.…”

Section: Practical Examplementioning

confidence: 99%

“…F I G U R E 2 Nonlinear LLC resonant circuit system. 3,16,19 The system is written in the form of a state-space form as…”

Section: Practical Examplementioning

confidence: 99%

“…Meanwhile, control problems for nonlinear system with perturbed feedforward nonlinearities continued to be actively studied. 3,7,[14][15][16][17][18][19][20] In these works, one often frequently imposed condition on the feedforward nonlinearity is that there is no input-matching nonlinearity in the system. Moreover, in References 7,14-17, the considered feedforward nonlinearity has a linear growth rate.…”

Section: Introductionmentioning

confidence: 99%

“…Event‐triggered control has been actively studied in recent years and many related results have been reported, see References 1–12 and references therein. In References 1 and 2, the authors propose adaptive event‐triggered controllers for a class of multi‐agent systems with strict‐feedforward nonlinearities, but these results do not consider uncertain parameters related to the states and inputs.…”

Section: Introductionmentioning

confidence: 99%

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Global regulation of almost feedforward nonlinear systems by an adaptive event‐triggered controller with multi‐triggering conditions

Oh,

Choi

2024

Intl J Robust & Nonlinear

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We consider a global regulation problem for almost feedforward nonlinear systems with uncertain time‐varying parameters using an adaptive event‐triggered controller. The systems we consider are called “almost” feedforward systems because, in addition to the feedforward nonlinearity with the unknown linear growth rate, there is a non‐zero input‐matching term. Notably, this input‐matching term is a non‐feedforward term and it cannot be directly canceled due to the presence of input uncertainty and the use of event‐triggered control. To solve our considered problem, we propose an adaptive event‐triggered controller with multi‐triggering conditions and dynamic gain. We show that the closed‐loop system is globally regulated and the times between executions are positively lower bounded. Moreover, we show that the positive lower bounds of interexecution times can be enlarged by a control parameter. For a clear illustration, a practical example is given.

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Leader‐following consensus control for feedforward nonlinear multiagent systems under DoS attacks with attack detection delays

Zhang,

Zhao,

Qian

et al. 2024

Intl J Robust & Nonlinear

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This article investigates the leader‐follower consensus control problem of a feedforward nonlinear multiagent system under denial‐of‐service (DoS) attacks. Compared with the existing results on the consensus control of multiagent systems under DoS attacks, this article considers a class of feedforward multiagent systems with nonlinear functions that are less conservative, and takes into account asynchronous DoS attacks with attack detection delay. To address these problems, firstly, a new class of topological switching sequences and Laplacian matrices are designed based on the properties of the considered DoS attacks to convert the DoS attacks with attack detection delay problems into a class of topological switching problems. Then, a distributed dynamic gain compensator and an output feedback controller are constructed for each follower by using the output information of neighbor agents that are not intercepted by the attacks. Afterwards, by using piecewise Lyapunov functions, it is proven that if the DoS signal satisfies the condition of time‐varying average dwell time (ADT), then the followers can asymptotically track the state of the leader. Finally, a numerical example is provided to verify the effectiveness of the control algorithm.

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Event-triggered output feedback control for feedforward nonlinear systems with unknown measurement sensitivity

Cited by 23 publications

References 27 publications

Distributed Optimization for Nonlinear Multi-Agent Systems with Upper-Triangular Structure

Distributed Optimization for Nonlinear Multi-Agent Systems with Upper-Triangular Structure

Global regulation of almost feedforward nonlinear systems by an adaptive event‐triggered controller with multi‐triggering conditions

Leader‐following consensus control for feedforward nonlinear multiagent systems under DoS attacks with attack detection delays

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