An adaptive neural network (NN) event-triggered control scheme is proposed for nonlinear nonstrict-feedback multiagent systems (MASs) against input saturation, unknown disturbance, and sensor faults. Mean-value theorem Nussbaum-type function are invoked to transform the structure of saturation overcome difficulty directions, respectively. On basis universal approximation property NNs, a disturbance observer designed estimate compounded composed external residual term saturation. According...

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...

For a class of large-scale nonlinear systems in nonstrict-feedback structure with immeasurable states, an adaptive decentralized fuzzy control strategy on the basis event-triggered mechanism is investigated this paper. Fuzzy logic are implemented to construct observer, which approximates unknown function controller. In light backstepping technique and mechanism, approach proposed compensate for effects actuator faults. When triggering condition satisfied, communication burden can be reduced....

This article focuses on the fixed-time formation control problem for nonlinear multiagent systems (MASs) with dynamic uncertainties and limited communication resources. Under framework of backstepping method, a time-varying function is introduced in controller design. To attain prescribed transient steady-state performance MASs, (FTPPF) designed further coordinate transformation addressing zero equilibrium point removed. achieve better approximating performance, neural network (NN)-based...

This paper focuses on the predefined-time adaptive neural tracking control problem for nonlinear multiagent systems (MASs). In contrast to existing results of methods, this introduces a lemma achieving stability within framework backstepping, and primary distinguishing feature is ability predefine convergence time according user specifications controller design process being influenced by singular parameter. Meanwhile, numerical example presented using proposed such that performance can be...

This paper focuses on the predefined-time faulttolerant consensus tracking control problem for multi-unmanned aerial vehicle (UAV) systems with prescribed performance and attitude constraints. The UAV are divided into position subsystems consideration. In subsystem, a protocol is formulated by modifying conventional schemes. advantage of our work that errors can be consistently positive or negative during system operation while achieving demanded accuracy within predefined time. an...

An observer-based adaptive dynamic surface control (DSC) strategy is proposed for nonlinear nonstrict-feedback systems with time-varying disturbance, event-triggered mechanism, and actuator failures in this paper. Fuzzy logic are implemented to construct an observer estimate the unmeasured states. The DSC method exploited solve issue of "explosion complexity" backstepping technique. constructed mechanism can avoid waste communication resources. barrier Lyapunov functions utilized address...

Many mechanical parts of multi-rotor unmanned aerial vehicle (MUAV) can easily produce non-smooth phenomenon and the external disturbance that affects stability MUAV. For multi-MUAV attitude systems experience output dead-zone, actuator fault, a leader-following consensus anti-disturbance fault-tolerant control (FTC) scheme is proposed in this paper. In design process, effect unknown nonlinearity addressed using neural networks (NNs). order to balance out effects observer designed compensate...

This article focuses on the event-triggered-based adaptive neural-network (NN) control problem for nonlinear large-scale systems (LSSs) in presence of full-state constraints and unknown hysteresis. The characteristic radial basis function NNs is utilized to construct a state observer address algebraic loop problem. To reduce communication burden signal transmission frequency, event-triggered mechanism encoding-decoding strategy are proposed with help backstepping technique. encode decode...

This work focuses on tracking and controlling a distributed platoon consisting of heterogeneous vehicles with an output dead-zone model uncertainties. The influence the dead zone is handled by Nussbaum function, total disturbances each channel are estimated using extended state observers (ESOs). Moreover, to remove traditional condition zero initial spacing errors (ISEs), modified quadratic policy (MQSP) established, which can obtain traffic flow stability (TFS). A control technique...

This paper investigates the problem of adaptive fuzzy control on basis an event-triggered mechanism for nonlinear strict-feedback systems with time-varying external disturbances and virtual coefficients in presence actuator failures. Virtual are correlated designed law signal. In backstepping technique procedure, logic utilized to approximate unknown function, tuning function is implemented cope destabilizing design. To save communication resources, strategy developed update input when...

ABSTRACT This paper proposes the reinforcement learning‐based prescribed performance optimal formation control approach for a fleet of unmanned surface vehicles (USVs) with collision avoidance and preserved connectivity. Firstly, to improve errors while ensuring preserving connectivity between two successive USVs, monotone tube boundary functions are designed. Compared traditional exponential form control, error can converge accurately vicinity origin within predefined time, overshoot is...

ABSTRACT This article investigates the fixed‐time optimal tracking control problem for single‐link manipulator time‐delay system with unknown disturbance. An improved extended state observer is established, which not only estimates disturbance existing in but also information of system. Subsequently, reinforcement learning (RL) approach a critic‐actor framework utilized to construct controller. During RL process, modification term introduced prevent occurrence training termination, critic...

In this paper, a fuzzy adaptive predefined time and accuracy tracking control strategy is presented for class of nonlinear p -normal multiagent systems (MASs) with unmodeled dynamics disturbances. First all, controller designed by improving sectioned functions, which allows the convergence MASs to be predetermined errors converge region. Second, in regard uncertain problems systems, logic are applied estimate unknown functions. Nonlinear disturbance observers approximate disturbances,...

Multiple-input-multiple-output (MIMO) systems use multiple antennas in both transmitter and receiver ends for higher spectrum efficiency. The hardware implementation of MIMO detection becomes a challenging task as the computational complexity increases. This paper presents architectures implementations two typical sphere decoding algorithms, including Viterbo-Boutros (VB) algorithm Schnorr-Euchner (SE) algorithm. Hardware/software codesign technique is applied to partition on single...