In this paper, the filtering problem is investigated for a class of discrete-time Markov jump linear parameter varying systems with packet dropouts and channel noises in network surroundings. The partial accessibility system modes respect to designed filter described by hidden model (HMM). A typical behavior characterization mechanism proposed communication including data losses additive noises, which occurs probabilistic way based on two mutually independent Bernoulli sequences. With aid...

The stability and stabilization problems for a class of switched discrete-time nonlinear systems are studied in this paper. Each subsystem the presented system is modeled as piecewise affine (PWA) one by splitting state space into polyhedron regions. With aid simple searching strategy active transition pairs at switching instant, i.e., so-called S-arbitrary approach, criteria derived via relaxed quadratic Lyapunov function technique. Then, using descriptor family PWA stabilizing controllers...

In this article, the stability analysis and control synthesis of interval type-2 (IT2) polynomial-fuzzy-model-based networked systems are investigated under event-triggered framework. The nonlinear dynamics in plant is efficiently represented by an IT2 polynomial fuzzy model that membership functions utilized to capture uncertainties plant. An controller then designed stabilize subject uncertainties. conditions closed-loop system summarized form sum-of-squares. Under imperfectly premise...

This paper addresses event-triggered data transmission in a class of large-scale networked nonlinear systems with delays and interconnections. Each subsystem the considered system is represented by Takagi-Sugeno model, exchanges its information through digital channel. We propose an event-triggering mechanism, which determines when premise variables states should be transmitted to controller. Our goal design decentralized state-feedback fuzzy controller, such that resulting closed-loop...

This paper examines the problem of distributed event-triggering output-feedback control for discrete-time large-scale fuzzy systems in network scenario. A novel scheme is proposed, where each subsystem transmits its output information and premise variables only when local error exceeds a specified threshold. The resulting closed-loop system subject to nonsynchronous grades membership explored under such circumstances. In virtue piecewise Lyapunov function together with some matrix inequality...

This paper is concerned with the problem of robust decentralized output-feedback control for a class continuous-time large-scale nonlinear systems. Each subsystem, described by Takagi–Sugeno model, involves in interconnections and parametric uncertainties The main focus this to design static (SOF) fuzzy controller, such that resulting closed-loop system asymptotically stable prescribed <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">...

Nonlinear positive control system can be found in many real-world applications but the positivity requirements lead to challenges analysis and design. In this article, we approach problem by fuzzy-model-based techniques overcome some including transforming nonconvexity conditions when both stability exist into convexity that solved convex programming techniques. This article focuses on static output-feedback tracking issue of polynomial systems. The purpose is design an appropriate output...

This paper investigates the problem of reachable set estimation and decentralized controller design for large-scale nonlinear systems, where time-varying delays nonlinearities appear in interconnections connected to other subsystems. The Takagi-Sugeno model is used describe each subsystem. aim this a state-feedback fuzzy such that resulting closed-loop system with input constraint bounded by an intersection ellipsoids. First, transformation proposed reformulate as several feedback extra...

This article addresses the finite-time boundedness (FTB) problem for nonlinear descriptor systems. Firstly, system is represented by Takagi-Sugeno (T-S) model, where fuzzy representation assumed to be appearing not only in both state and input matrices but also derivative matrix. By using a redundancy approach, matrix reformulated into linear one. Then, we introduce sliding mode control (FSMC) law, which ensures of closed-loop systems over reaching phase motion phase. Moreover, further...

Nonlinear positive systems are ubiquitous in practical applications. The constraint of conditions makes the design this system still quite challenging even for existing advanced control theory. In addition, when uncertainty and external disturbance also act on nonlinear at same time, it will aggravate complexity problem. response to problem, first article presents a feasible robust tracking strategy with subject uncertainty. proposed strategy, Takagi–Sugeno (T–S) fuzzy model is used...

In recent years, research on the manipulation and control of microrobot has gradually matured. order to improve intelligence microrobots, navigation study also becomes an important topic. practice, microrobots could be disturbed by flowing liquid when it moves in a microfluidic environment. As result, actual trajectory will deviate from intended one. this paper, firstly, different algorithms for simulated plant leaf vein environment are investigated. According simulation results,...

This paper addresses the stabilization problem of direct current (DC) microgrids through distributed controller design that employs event-based strategy to reduce data communication. The considered dc microgrid is composed multiple-photovoltaic arrays via dc/dc buck converters. Takagi-Sugeno model utilized represent each nonlinear photovoltaic power subsystem. Based on a Lyapunov function with help Wirtinger inequality, and combined some convexification approaches matrix results designing...

This article investigates the dissipativity-based filtering problem for nonlinear systems subject to both uncertainties and time-varying delay in time-delay interval type-2 (IT2) polynomial fuzzy framework. Filter design is a challenging issue complex especially when time exist. The IT2 model an effective powerful approach analyze synthesize uncertain systems. first attempt full-order reduced-order filter ensure that error system asymptotically stable under dissipativity constraint. of based...

The stability analysis and stabilization of Takagi-Sugeno (T-S) fuzzy delta operator systems with time-varying delay are investigated via an input-output approach. A model transformation method is employed to approximate the delay. original system transformed into a feedback interconnection form which has forward subsystem constant delays one uncertainties. By applying scaled small gain (SSG) theorem deal this new system, based on Lyapunov Krasovskii functional (LKF) in domain, less...

This study examines the state estimation problem for uncertain descriptor systems subject to unknown dynamics. An integration of interval type-2 fuzzy set (IT2-FS) and cerebellar model articulation controller (CMAC) neural network, called IT2-FCMAC approximator, is introduced approximate dynamics incorporated into a sliding-mode observer. Then, its learning cast robust control framework discrete-time nonlinear systems, <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML"...

This paper investigates the problem of decentralized robust output feedback H∞ control for a class discrete-time large-scale nonlinear systems. The considered system consists several subsystems with interconnections and parametric uncertainties, each subsystem is represented by Takagi–Sugeno (T–S) model. Our objective to design piecewise static (SOF) controller such that closed-loop fuzzy asymptotically stable an disturbance attenuation level. Based on Lyapunov function combined some matrix...

This research produces a mixed Gaussian membership function (GMF) fuzzy cerebellar model articulation controller (CMAC) for three-link robot. A GMF is created using the current and previous GMFs on each layer of CMAC to detect errors efficiently, so (MGMFFC) able train parameters efficiently constructs MGMFFC structure automatically. Lyapunov cost gradient descent techniques are utilized get adaptive with guaranteed system's stable. Simulation studies robot show that attains favorable...