Adaptive Bipartite Tracking Control of Nonlinear Multiagent Systems With Input Quantization

Liu, Guangliang; Liang, Hongjing; Zhou, Qi

doi:10.1109/tcyb.2020.2999090

Cited by 49 publications

(9 citation statements)

References 48 publications

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“…[63][64][65] Time-delay multiagent systems have better flexibility and wider applications. [66][67][68][69] Accordingly, the optimization control problem of time-delay multiagent systems is a focus of our future research.…”

Section: Resultsmentioning

confidence: 99%

“…However, it is important to point out that the developed control strategy is not suitable for multiagent systems 60–62 and time‐delay systems 63–65 . Time‐delay multiagent systems have better flexibility and wider applications 66–69 . Accordingly, the optimization control problem of time‐delay multiagent systems is a focus of our future research.…”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Event‐triggered guaranteed cost fault‐tolerant optimal tracking control for uncertain nonlinear system via adaptive dynamic programming

Guo

Yao

Bai

et al. 2021

Intl J Robust & Nonlinear

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In this article, an event-triggered guaranteed cost optimal tracking control problem is investigated for a class of uncertain nonlinear system with partial loss of actuator effectiveness faults. To begin with, an augmented system consisted of error system and reference system is constructed to simplify the tracking controller design. Then, in order to consider both actuator faults and system uncertainties in optimal tracking control, an improved discounted cost function is developed. Furthermore, a single critic neural network adaptive dynamic programming algorithm is utilized to implement the event-based approximate optimal controller design. Different from static event-triggered mechanism, the dynamic event-triggered mechanism proposed in this article with an internal dynamic signal can further improve execution efficiency. A Lyapunov-based stability analysis is given to demonstrate the uniformly ultimately bounded stability of the closed-loop system. Finally, two typical nonlinear simulations are presented to verify the developed control method.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Event‐triggered guaranteed cost fault‐tolerant optimal tracking control for uncertain nonlinear system via adaptive dynamic programming

Guo

Yao

Bai

et al. 2021

Intl J Robust & Nonlinear

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show abstract

“…In the past few decades, due to the fact that the nonlinear system can describe many practical models more accurately, the research on the controller design of nonlinear system appeals to wide concern of scholars. [1][2][3][4][5] Accordingly, some remarkable control schemes have been proposed for this issue, such as sliding mode control, [6][7][8] adaptive backstepping control, [9][10][11] and fuzzy control. [12][13][14][15] In particular, adaptive backstepping control technique can not only simplify the procedure of controller construction, but also update the adaptive parameters through online learning, so that the designed controller can automatically adjust according to the changes of the environment, thus improving the robustness of the system.…”

Section: Introductionmentioning

confidence: 99%

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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“…T RAJECTORY tracking is one of the most fundamental problems in control community with broad applications in many fields, including leader-following tracking [1], [2], formation-containment tracking [3], [4], bipartite tracking [5], [6] and average tracking [7], [8]. To guarantee the tracking performance, prescribed performance control [9] has been commonly employed, which can ensure the convergence of the tracking error into a sufficiently small prescribed residual set with a prescribed convergence rate and a desired transient state performance.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Fuzzy Tracking Control with Global Prescribed-Time Prescribed Performance for Uncertain Strict-Feedback Nonlinear Systems

Mao¹,

Wu²,

Liu³

et al. 2022

Preprint

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Adaptive fuzzy control strategies are established to achieve global prescribed performance for uncertain strictfeedback nonlinear systems with prescribed time. Firstly, a class of prescribed-time prescribed performance function is designed to quantify the transient and steady performance constraints of the tracking error. Secondly, based on dynamic surface control methods, controllers with or without approximating structures are established to guarantee that the tracking error satisfies prescribed transient performance and converges into a prescribed bounded set within prescribed time. In particular, the settling time and initial value of the prescribed performance function are completely independent of initial conditions of the tracking error and system parameters, which improves existing results. Moreover, with a novel Lyapunov-like energy function, not only the differential explosion problem frequently occurring in backstepping techniques is solved, but the drawback of the semiglobal boundedness of tracking error induced by dynamic surface control can be overcome. The validity and effectiveness of the main results are verified by numerical simulations on practical examples.

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Adaptive Bipartite Tracking Control of Nonlinear Multiagent Systems With Input Quantization

Cited by 49 publications

References 48 publications

Event‐triggered guaranteed cost fault‐tolerant optimal tracking control for uncertain nonlinear system via adaptive dynamic programming

Event‐triggered guaranteed cost fault‐tolerant optimal tracking control for uncertain nonlinear system via adaptive dynamic programming

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

Adaptive Fuzzy Tracking Control with Global Prescribed-Time Prescribed Performance for Uncertain Strict-Feedback Nonlinear Systems

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