This article devotes to solve the fault-tolerant control problem based on interval type-2 (IT2) Takagi-Sugeno (T-S) fuzzy stochastic switched uncertain time-delayed systems with signal quantization. Stochastic can model a dynamic structure susceptible abrupt faults, making it more practically significant in power or economic systems. The core design is an observer-based scheme that estimate incomplete measurable variables and eliminate influence of fault dynamically well enhancing robust...

Considering that there are many systems with limited network bandwidth in practice, this article studies the leader-following consensus problem for a class of nonlinear multiagent (MASs). The purpose is to reduce unnecessary information transmission between any pair adjacent agents including leader MASs through intermittent communication. novel event-triggered and asynchronous edge-event triggered mechanisms designed all edges, respectively. static dynamic protocols under these proposed...

The cooperative bipartite containment control problem of linear multiagent systems is investigated based on the adaptive distributed observer in this article. graph among agents structurally balanced. A novel error term designed to guarantee that some outputs followers converge convex hull spanned by leaders, and other followers' symmetric hull. matrices exosystems are not available for each follower. general method presented verify validity a rather than previous approach. In words,...

Comparing with traditional stochastic differential equations involving white noise, random (RDEs) colored noise are claimed to have more practical meaning. This article considers the event-triggered adaptive tracking control for RDE systems coexisting parametric uncertainties and severe nonlinearities. Combining a error-based dynamic gain relative threshold event triggered mechanism, problem is solved without Zeno behavior. The error can be rendered small enough by tuning design parameters....

In this article, the leaderless adaptive fuzzy consensus control problem is studied for a class of stochastic nonlinear multiagent systems with unknown measurement sensitivity under false data injection attacks. Unknown and attacks can prevent sensors from obtaining right state information make it difficult to design controllers laws. The existing works considered only one these cases deterministic systems. coexistence both help Nussbaum functions logic systems, corresponding auxiliary...

Considering that cooperative interactions and antagonistic between neighboring agents may exist simultaneously in practice, this article studies the bipartite time-varying output formation tracking (BTVOFT) problems for homogeneous/heterogeneous multiagent systems with multiple nonautonomous leaders under switching communication networks. First, a full-dimensional observer-based nonsmooth distributed dynamic event-triggered (DDET) feedback control scheme is proposed to ensure BTVOFT...

In this paper, a self-triggered fuzzy adaptive switched control strategy is proposed to address the synchronous tracking issue in stochastic multiagent systems (MASs) based on mode-dependent average dwell-time (MDADT) method. Firstly, slow switching mechanism considered MASs and realized through class of designed signals under MDADT property. By utilizing information both specific agents dynamics observers with features, are designed, which reduces design complexity. Then, state observer via...

In this article, the finite-time containment control problem of nonlinear multiagent systems (MAS) is investigated, in which follower agents are subjected to full state constraints. The fuzzy logic system employed approximate uncertain dynamic MAS. A new transformation function (NTF) proposed, serves as a unified tool for coping with constraints and no constraint. By combing variable proposed NTF, original converted into equivalent free-constrained systems. Moreover, long boundedness states...

This article investigates the optimal control strategy problem for nonzero-sum games of immune system based on adaptive dynamic programming (ADP). First, main objective is approximating a Nash equilibrium between tumor cells and cell population, which governed through chemotherapy drugs immunoagents guided by mathematical growth model cells. Second, novel intelligent games-based ADP put forward to solve optimization reducing rate minimizing immunotherapy drugs. Meanwhile, convergence...

This article considers the bipartite time-varying output formation-containment tracking control issue for general linear heterogeneous multiagent systems with multiple nonautonomous leaders, where full states of agents are not available. Both cooperative interaction and antagonistic between neighboring taken into account. First, an observer is constructed using information to observe state information. Then, based on agents, independent asynchronous fully distributed event-triggered...

This article researches the sliding mode control (SMC) for fuzzy fractional-order multiagent system (FOMAS) subject to time-varying delays over directed networks based on reinforcement learning (RL), <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\alpha\in(0,1).$</tex-math> </inline-formula> First, since there is information communication between an agent and another agent, a new distributed policy...

This article investigates a class of optimal joint therapeutic regimens based on adaptive dynamic programming (ADP) and generalized fuzzy hyperbolic model (GFHM) for multiple tumor populations subject to immune effects as well drugs. Obtaining the abnormal proliferation process single cells with interventions is then first step conducting treatment. In this article, trajectories healthy unhealthy systems are obtained by constructing virtual affine model. A strong connected trace agents...

Deep learning methods have demonstrated promising performance in magnetic flux leakage (MFL) defect detection under adequate amounts of labeled samples. However, industrial occasions, obtaining samples is time-consuming and expensive, applying only limited can lead to unsatisfactory accuracy. To address the above issues, a method named semisupervised circular teacher network (SSCT-Net) proposed this article. First, parallel feature extraction with hybrid attention SSCT-Net so that useful...

This paper aims to develop a dynamic-memory event-triggered mechanism (DMETM) for Takagi-Sugeno (T-S) fuzzy switched systems under denial-of-service (DoS) attacks. Persistent dwell-time (PDT) is used describe the characteristics of both DoS attacks and switching behaviours. The usage PDT allows high-frequency attacking phenomenon during certain intervals. Meanwhile, DMETM designed screen more effective triggering instants reduce signal transmission frequency. dynamic conditions vary based on...

This article investigates the fault-tolerant control problem for stochastic switched interval type-2 (IT2) fuzzy time-delayed uncertain systems based on unknown input observer synthesis, which can avoid uneasy measurement time derivative of output, and estimate unavailable or partially measurable states, including sensor actuator faults accurately. First, a desired is designed to ensure observer-based dynamic error system mean-square exponentially stable with sufficient condition strict...