This article investigates the event-triggered predefined time output feedback control design problem for nonlinear interconnected systems with nonstrict structures. Compared existing schemes, most significant contribution of this is that system stability can be preset directly. Fuzzy logic (FLSs) and FLSs-based state observer deal unknown dynamics unmeasured states. Combining dynamic surface technology mechanism based on switching threshold strategy, an decentralized method proposed, in...

This article studies the predefined time control design issue for uncertain nonlinear systems with full-state error constraints and unmeasurable states first time. Compared existing works, this study enables controlled system to stabilize within a predetermined ensures that tracking errors converge desired accuracy range, even in absence of measurable state information. Fuzzy logic (FLSs) are applied handle unknown dynamics, FLSs-based observer is constructed estimate states. With universal...

This paper presents the generation strategy, motion planning, and switching topologies of a distance-based leader-follower relation-invariable persistent formation (RIPF) multiagent systems (MASs). An efficient algorithm is designed to find out if can be generated from rigid graph. Derived properties graph, generate RIPF any initial location presented. In order different RIPFs in topology, state transition matrices are introduced. To achieve minimum agent-movement among RIPFs, downward-tree...

This article proposes the fuzzy swarm control based on sliding-mode strategy with self-organized omnidirectional mobile robots (OMRs) system. In previous work, is realized by using strategy. However, chattering in OMRs system very serious. To overcome this drawback, a new for designed, which introduces logic to replace switching traditional (SMC). The SMC (FSMC) can weaken it difficult design law because of model uncertainties, external disturbance and introduction logic. FSMC proposed its...

In this article, we propose the dynamic coverage control method based on <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">K</i> -means. traditional control, Voronoi partition is used to assign positions for intelligent units. However, requires that space be covered compact and convex, it difficult realize of high-dimensional space. Therefore, in a planning algorithm -means, which relaxes requirements objects can calculate optimal addition,...

This article studies the nonsingular fixed-time control problem of multiple-input multiple-output (MIMO) nonlinear systems with unmeasured states for first time. A state observer is designed to solve that system cannot be measured. Due existence unknown dynamics, neural networks (NNs) are introduced approximate them. Then, through combination adaptive backstepping recursive technology and adding power integration technology, a output feedback algorithm proposed, which introduces filter avoid...

This article researches the adaptive fuzzy tracking control problem for uncertain nonlinear systems with multiple actuators and sensors faults. Compared previous studies, all states of system cannot be measured accurately in this due to existence faults, it brings significant difficulties design scheme. Moreover, faults external disturbance can also bring challenges controller design. To solve these problems, we different update laws relieve effects unknown disturbance, respectively....

This article addresses a distributed time-varying optimal formation protocol for class of second-order uncertain nonlinear dynamic multiagent systems (MASs) based on an adaptive neural network (NN) state observer through the backstepping method and simplified reinforcement learning (RL). Each follower agent is subjected to only local information measurable partial states due actual sensor limitations. In view optimized strategic needs, dynamics undetectable may jointly affect stability...

This article deals with a practical distributed hybrid differentiation flowshop scheduling problem (DHDFSP) for the first time, where manufacturing products to minimize makespan criterion goes through three consecutive stages: 1) job fabrication in first-stage factories; 2) job-to-product assembly based on specified plan second-stage single machine; and 3) product according customization one of third-stage dedicated machines. Considering characteristics multistage diversified processing...

This paper proposes an adaptive fuzzy output feedback control approach for quadrotor unmanned aerial vehicles (QUAV) with stochastic disturbances, besides which we consider the unmeasurable states and unknown nonlinear functions. The QUAV system contains terms are not bounded differentiable. By combining It <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\hat {\rm \textbf {o}}$ </tex-math></inline-formula>...

In this article, we propose the swarm control for a self-organized system with fixed and switching topology, which can realize aggregation, dispersion, or formation when moves. The automatically construct communication topology intelligent units in swarm. Swarm aggregation dispersion of based on its proposed control, distances between related are time varying, is different from traditional consensus maintenance. To design define normalization adjacency matrix degree topology. generated...

In this article, we propose the intelligent decision making and bionic movement control of self-organized swarm. Swarm can provide swarm path planning. Bionic simultaneously generate formation, realize formation switching, drive while avoiding collision preserving existing communication topology. When topology switches, is introduced to find out optimal route between initial position destination for each unit. We an enhanced genetic algorithm (GA) making. Avoiding should be achieved during...

In this article, the game-based backstepping control method is proposed for high-order nonlinear multi-agent system with unknown dynamic and input saturation. Reinforcement learning (RL) employed to get saddle point solution of tracking game between each agent reference signal achieving robust control. Specifically, approximate optimal established Hamilton–Jacobi–Isaacs (HJI) equation obtained by policy iteration subsystem, single network adaptive critic (SNAC) architecture used reduce...

This paper presents a novel leader–follower formation control for autonomous surface vehicles (ASVs). The dynamic model of ASV and the traditional methods trajectory tracking are analyzed. Previous research about ASVs' focuses on way realizing under conditions, such as time-delays, finite-time, non-holonomic system. However, principles constructing suitable ASVs often neglected. We present relation-invariable persistent (RIPF) ASVs, from which can be generated in any position. Obtained by...

In this article, we propose a smooth transition in communication for swarm control with formation change. The topology is automatically constructed by the relation-invariable persistent formation, which method of self-organized system. Based on topology, intelligent units systems can solve difficult tasks would be hardly completed single unit. Intelligent are controlled to realize behaviors, such as aggregation, dispersion, and switching when moves. function traditional change step transient...

In this article, an adaptive swarm control within saturated input based on the nonlinear coupling degree is proposed. Swarm a forward study in kinematics and dynamics of system. However, previous work can only manifest whether agents being connected or not, ignoring connection strength. As result, proposed, which more suitable for practical engineering than degree. Based degree, we put novel dynamics. Besides, effects saturation should be considered Therefore, introduce backstepping method...

In this paper, an optimization algorithm based on deep reinforcement learning is proposed to optimize complex networks in fixed-time convergence of continuous action iteration dilemmas. The field iterative dilemmas has long been studied, with prior research primarily emphasizing the effectiveness strategy selection and stability evolution. However, impact topology evolution remained under-explored. present study fills gap by examining how structure influences time required for players reach...

A safe time-varying formation (TVF) control framework is proposed in this article for heterogeneous multiagent systems under the constraints of denial service (DoS) attacks, noncooperative dynamic obstacles, and input saturation. The integrates both cyber-layer physical-layer components to address challenges posed by these adverse conditions. In cyber-layer, a distributed resilient observer provided based on Lyapunov function (CLF)-quadratic program (QP). This estimates reference exosystem,...