This article addresses the adaptive event-triggered neural control problem for nonaffine pure-feedback nonlinear multiagent systems with dynamic disturbance, unmodeled dynamics, and dead-zone input. Radial basis function networks are applied to approximate unknown function. A signal is constructed deal design difficulties in dynamics. Moreover, reduce communication burden, we propose an strategy a varying threshold. Based on Lyapunov method approach, novel protocol constructed, which...

This paper considers the event-triggered tracking control problem of nonlinear multiagent systems with unknown disturbances. The event-triggering mechanism is considered in controller update, which decreases amount communication and reduces frequency update practice. By designing a disturbance observer, external disturbances are estimated. Moreover, part adaptive parameters only dependent on number followers, weakens computational burden. It shown that all signals bounded, consensus errors...

This article studies the distributed observer-based event-triggered bipartite tracking control problem for stochastic nonlinear multiagent systems with input saturation. First, different from conventional observers, we construct a novel reduced-order observer to estimate unknown states systems. Then, an mechanism relative threshold is introduced reduce burden of communication. In addition, controller proposed by using fuzzy logic and backstepping approach. Meanwhile, it proved that designed...

In this paper, the inverse optimal approach is employed to design distributed consensus protocols that guarantee and global optimality with respect some quadratic performance indexes for identical linear systems on a directed graph. The theory developed by introducing notion of partial stability. As result, necessary sufficient conditions are proposed. By means theory, established globally cooperative control problems graphs. Basic procedures given based asymptotic properties resulting...

This paper studies the quantized cooperative control problem for multiagent systems with unknown gains in prescribed performance. Different from finite-time control, a speed function is designed to realize that tracking errors converge compact set given finite time systems. Meanwhile, we consider of and input quantization, which can be addressed by using lemma Nussbaum control. Moreover, fuzzy logic are proposed approximate nonlinear defined on set. A distributed controller adaptive laws...

In this paper, an adaptive fuzzy output feedback control problem is investigated for a class of stochastic nonlinear systems in which the logic are adopted to approximate unknown functions. A reduced-order observer and general fault model designed observe unavailable state variables describe actuator faults, respectively. An event-triggered law developed reduce communication burden from controller actuator. Meanwhile, barrier Lyapunov functions constructed guarantee that all states system...

This paper investigates the adaptive tracking control problem for a class of uncertain single-input and single-output strict-feedback nonlinear systems with unknown direction disturbances. Dynamic surface is utilized to handle “explosion complexity” occurred in conventional backstepping design. In order escape analytic calculation, first-order filter used generate command signals their derivatives. Moreover, Nussbaum function employed coefficient. New controllers laws are designed by...

This paper examines the adaptive event-triggered fault detection problem of semi-Markovian jump systems (S-MJSs) with output quantization. First, we develop an scheme for S-MJSs that is more effective than conventional strategy decreasing network transmission information. Meanwhile, design a new law can dynamically adjust threshold. Second, consider signal quantization and delay in proposed scheme. Moreover, establish novel sufficient conditions stochastic stability H <sub...

This paper studies the problem of adaptive eventtriggered dynamic output feedback fuzzy control for nonlinear networked systems. Two crucial factors, packet dropouts and actuator failure, are taken into consideration simultaneously. Takagi-Sugeno model is introduced to describe considered The Bernoulli random distribution process employed depict phenomenon data missing. failure adopted failure. An innovative event-triggered strategy built save computational resource. In light Lyapunov...

This article is concerned with the problem of containment control respect to continuous-time semi-Markovian multiagent systems switching topologies. Two kinds classical schemes, which are dynamic and static utilized address proposed synthesis problem. Based on linear matrix inequality (LMI) method, controller designed plunge into studied systems, respectively. Moreover, random topologies process, partly unknown transition rates, generally uncertain rates taken account, can be applicable more...

This article focuses on the containment control problem for nonlinear multiagent systems (MASs) with unknown disturbance and prescribed performance in presence of dead-zone output. The fuzzy-logic (FLSs) are used to approximate function, a observer is estimate external disturbances. Meanwhile, new distributed scheme developed by utilizing adaptive compensation technique without assumption boundary value disturbance. Furthermore, Nussbaum function utilized cope coefficient, which caused...

This article studies the fault detection problem for continuous-time fuzzy semi-Markov jump systems (FSMJSs) by employing an interval type-2 (IT2) approach. First, FSMJSs model is designed and parameter uncertainty addressed IT2 approach, where characteristic of sensor saturation taken into account in control system. Second, mode-dependent filter constructed, which employed to deal with problem. Then, using Lyapunov theory, it can be guaranteed that constructed based on this stochastically...

This article is concerned with the dynamic event-triggered-based adaptive output-feedback tracking control problem of nonlinear multiagent systems time-varying input delay. By utilizing approximation capability neural network (NN), a low-gain observer first established to estimate immeasurable states. To mitigate effect delay, an auxiliary system communication information designed generate compensation signals. Then, distributed composite NN surface (DSC) strategy proposed acquire...

This article studies the bipartite containment control problem for nonlinear multiagent systems (MASs) with input quantization over a signed digraph. The design objective is to provide an appropriate distributed protocol such that followers converge convex hull containing each leader's trajectory as well its opposite different in sign. Based on decomposition approach of quantization, event-triggered scheme developed via backstepping technique. A fuzzy observer constructed estimate...

This paper addresses the adaptive finite-time decentralized control problem for time-varying output-constrained nonlinear large-scale systems preceded by input saturation. The intermediate functions designed are approximated neural networks. Time-varying barrier Lyapunov used to ensure that system output constraints never breached. An scheme is devised combining backstepping approach with function theory. Under action of proposed approach, stability and desired performance can be obtained in...

This article focuses on the <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\mathcal {L}_{2}-\mathcal {L} _{\infty}/ \mathcal {H}_{\infty}$</tex-math></inline-formula> optimization control issue for a family of nonlinear plants by Takagi–Sugeno (T–S) fuzzy approach with actuator failure. First, considering unmeasurable system states, sufficient criteria devising imperfect premise matching dynamic output...

This paper is focused on the observer-based adaptive fuzzy control problem for nonlinear stochastic systems with nonstrict-feedback form, in which some complicated and challenging issues including unmeasurable states, input quantization actuator faults are addressed. The logic introduced to approximate functions existing system. A observer designed observe unavailable state variables. In order handle negative effects resulting from faults, a damping term estimation of unknown bounds as well...

This article addresses the fixed-time control problem for constrained quarter active vehicle suspension systems (AVSSs) via an event-triggered based adaptive fuzzy method. The benefit of usage time-varying barrier Lyapunov function is to avoid violation displacement constraint so that stability and safety AVSSs can be guaranteed. relative threshold controller devised as reduce communication burden from actuator. In light fixed time theory, it proved both tracking performance closed-loop...

In bipartite consensus tracking (BCT) tasks for nonlinear multiagent systems (MASs), stochastic disturbances and actuator faults are regarded as essential factors that hamper effective controller formulation precision improvement. To address these difficulties, we design an improved finite-time performance function (FTPF) a fuzzy fault-tolerant distributed cooperative control scheme to achieve robust BCT MASs. The parameter selection range of the FTPF is relaxed, which renders better...

In some crucial consensus tracking missions, the sign of error is not allowed to change during process. The existing control schemes are unable satisfy this requirement. To solve issue, work improves conventional prescribed performance (PPC) approach and applies it cooperative unmanned aircraft vehicle (UAV) systems. Moreover, flight controller design incorporates human decision-making. This hybrid active interaction implies that humans UAVs can execute complex variable missions as a...

This article investigates the adaptive performance guaranteed tracking control problem for multiagent systems (MASs) with power integrators and measurement sensitivity. Different from structural characteristics of existing results, dynamic each agent is a exponential function. A method called adding integrator technique introduced to guarantee that consensus achieved MASs integrators. prescribed results MASs, new approach proposed in this article, which can relative position error between...

An adaptive neural bipartite tracking control approach is proposed for nonlinear multi-agent systems in this article. In contrast to previous results, it worth noting that paper considers a cooperative-competitive relationship systems, which stands more common situation. paper, distributed self-triggered communication strategy designed improve the transmission efficiency of whole system. addition, controller can compensate actuator failure and dead-zone nonlinearity, increases system...

A new privacy preservation mechanism and a gain iterative disturbance observer are proposed for multiagent systems. The protection can realize the in user-defined time, which improve encryption capability mitigate impact on system performance. More specifically, setting time mask function is constructed, it used as transformed so that whole imposed with rather than partial protection. Furthermore, designed this article, control accuracy of system. Based negative gradient optimization...

This article presents an event-triggered adaptive dynamic programming (ETADP) algorithm to address the distributed finite-horizon <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$H_\infty$</tex-math></inline-formula> consensus problem of nonlinear homogeneous multiagent systems subject asymmetric input constraints and exogenous disturbances. By considering disturbances as control inputs, original can be...