Event-Triggered Adaptive Tracking Control for Multiagent Systems With Unknown Disturbances

Zhang, Yanhui; Sun, Jian; Liang, Hongjing; Li, Hongyi

doi:10.1109/tcyb.2018.2869084

Cited by 290 publications

(98 citation statements)

References 43 publications

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“…respectively, where = ( 1 , … , n ) T , z = (z 1 , … , z n ) T , and b = (0, … , 1) T . At this point, we prove the existence of a unique maximal solution of system (11)- (12). Since dynamic gain L defined by (9) is nondecreasing, we have L(t) ≥ L(0) ≥ 1 for all positive t where L(t) exists.…”

Section: Lyapunov Analysismentioning

confidence: 89%

“…At this point, we prove the existence of a unique maximal solution of system (11)- (12). At this point, we prove the existence of a unique maximal solution of system (11)- (12).…”

Section: Lyapunov Analysismentioning

confidence: 92%

“…2,3 Therefore, nonlinear control systems without time delay and without quantization have been investigated with various restrictions such as growth rate conditions have been imposed on the unmeasured states (see the works of Qian and Lin, 1 Mazenc and Praly, 4 Astolfi et al, 5 and Marino and Tomei 6 and references therein, if the nonlinearity is known, and the works of Benabdallah et al, 7 Lei and Lin, 8,9 and Yang and Lin, 10 to cite few, if the nonlinear parts of the system are uncertain). For systems with unknown control directions, unknown deadzone, and dynamic disturbances, Nussbaum gain adaptive backstepping control is addressed in the work of Ma et al, 11 and the event-triggered adaptive tracking control problem for multiagent systems with unknown disturbances is studied in the work of Zhang et al 12 Via sampled-data control, adaptive practical stabilization of uncertain nonlinear systems is studied in the work of Mao et al 13 and global stabilization of uncertain switched nonlinear systems is established in the works of Mao et al 14 and Li et al 15 For time-delay systems, many problems are encountered. Such systems can be used to model various processes such as turbojet engines, nuclear reactors, chemical process, and many other physical plants.…”

Section: Introductionmentioning

confidence: 99%

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Adaptive stabilization of uncertain nonlinear time‐delay systems with quantized input and output

Ayadi

2018

Adaptive Control & Signal

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This paper investigates the problem of global output feedback stabilization for a class of uncertain nonlinear time-delay systems with unknown time delay in the states and the input in which both the input and the output are logarithmically quantized. The nonlinear functions of such systems are not completely known and satisfying certain bounded condition depending on the unmeasured states and the input. We construct a new dynamic high-gain observer where only an output quantization instead of the output is available for measurement to dominate the unknown nonlinear functions view as external disturbances. A scaled change of coordinates and an appropriate Lyapunov-Krasovskii functional are derived to achieve the global stabilization in the sense that all the states of such systems are defined, bounded in the maximal interval [0, +∞), and converge to the zero equilibrium. A numerical example is provided to illustrate the result. KEYWORDS adaptive stabilization, nonlinear uncertain systems, quantized input and output, time-delay systems 212

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Section: Lyapunov Analysismentioning

confidence: 89%

“…At this point, we prove the existence of a unique maximal solution of system (11)- (12). At this point, we prove the existence of a unique maximal solution of system (11)- (12).…”

Section: Lyapunov Analysismentioning

confidence: 92%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Adaptive stabilization of uncertain nonlinear time‐delay systems with quantized input and output

Ayadi

2018

Adaptive Control & Signal

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“…In recent years, by the incentive effects of spacious applications, such as synchronization [1,2] , formation control [3][4][5] , cluster flight [6][7][8] and other fields [9][10][11] , there is considerable attention in distributed cooperative control of multi-agent systems. As a significant topic in cooperative control, consensus, which means that all agents in a multiagent system achieve an agreement on some factors by designing reasonable consensus control protocols, arouses extensive interest from investigators, and some meaningful relevant works have been developed in [12][13][14][15], where the consensus performance is not taken into account.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Guaranteed-Performance Consensus Control for Multi-Agent Systems with an Adjustable Convergence Speed

Jia

Cai

et al. 2019

Discrete Dynamics in Nature and Society

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Adaptive guaranteed-performance consensus control problems for multi-agent systems are investigated, where the adjustable convergence speed is discussed. This paper firstly proposes a novel adaptive guaranteed-performance consensus protocol, where the communication weights can be adaptively regulated. By the state space decomposition method and the stability theory, sufficient conditions for guaranteed-performance consensus are obtained, as well as the guaranteed-performance cost. Moreover, since the convergence speed is usually adjusted by changing the algebraic connectivity in existing works, which increases the communication burden and the load of the controller, and the system topology is always given in practical applications, the lower bound of the convergence coefficient for multi-agent systems with the adaptive guaranteed-performance consensus protocol is deduced, which is linearly adjustable approximately by changing the adaptive control gain. Finally, simulation examples are introduced to demonstrate theoretical results.

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“…[9][10][11][12][13] However, stochastic phenomenon always exists in nonlinear systems and effects nonlinear systems' stability. To overcome this problem, backstepping control approach [14][15][16][17][18][19][20][21][22] was introduced to handle the problem of stabilization. Therefore, the control design of nonlinear stochastic systems has attracted more and more attention in recent years.…”

Section: Introductionmentioning

confidence: 99%

Observer‐based adaptive control for nonlinear strict‐feedback stochastic systems with output constraints

Liang

et al. 2018

Intl J Robust & Nonlinear

Self Cite

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In this paper, an adaptive output-feedback control problem is investigated for nonlinear strict-feedback stochastic systems with input saturation and output constraint. A barrier Lyapunov function is used to solve the problem of output constraint. Then, fuzzy logic systems are used to approximate the unknown nonlinear functions, and a fuzzy state observer is designed to estimate the unmeasured states. To overcome the difficulties in designing the control signal in the saturation, we introduce an auxiliary signal in the n + 1th step in the deduction. By combining Nussbaum technique and the adaptive backstepping technique, an adaptive output-feedback control method is developed. The proposed control method not only overcomes the problem of the compensation for the nonlinear term from the input saturation but also overcomes the problem of unavailable state measurements. It is proved that all the signals of the closed-loop system are semiglobally uniformly ultimately bounded. Finally, the effectiveness of the proposed method is verified by the simulation results.

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Event-Triggered Adaptive Tracking Control for Multiagent Systems With Unknown Disturbances

Cited by 290 publications

References 43 publications

Adaptive stabilization of uncertain nonlinear time‐delay systems with quantized input and output

Adaptive stabilization of uncertain nonlinear time‐delay systems with quantized input and output

Adaptive Guaranteed-Performance Consensus Control for Multi-Agent Systems with an Adjustable Convergence Speed

Observer‐based adaptive control for nonlinear strict‐feedback stochastic systems with output constraints

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