Based on the interval type-2 fuzzy (IT2F) approach, this article investigates fault detection filter design problem for a class of nonhomogeneous higher level Markov jump systems with uncertain transition probabilities. Considering that mode information system cannot be obtained synchronously by filter, hidden model can seen as detector to handle asynchronous problem, and parameter uncertainty processed IT2F approach lower upper membership functions. Then, is designed deal problem....

This article addresses the design issue of fuzzy asynchronous fault detection filter (FAFDF) for a class nonlinear Markov jump systems by an event-triggered (ET) scheme. The ET scheme can be applied to cut down transmission times from system FAFDF. It is assumed that modes cannot obtained synchronously filter, and instead, there detector measure estimated system. phenomenon between characterized via hidden model with partly accessible mode probabilities. Applying Lyapunov function methods,...

This paper studies the online adaptive optimal controller design for a class of nonlinear systems through novel policy iteration (PI) algorithm. By using technique neural network linear differential inclusion (LDI) to linearize terms in each iteration, law can be solved relevant algebraic Riccati equation (ARE) without system internal parameters. Based on PI approach, control algorithm is developed with linearization and two-step i.e., evaluation improvement. The convergence proposed also...

This article investigates the finite-time asynchronous control problem for continuous-time positive hidden Markov jump systems (HMJSs) by using Takagi-Sugeno fuzzy model method. Different from existing methods, under consideration are considered with in case, that is, consists of state and observed state. We aim to derive a suitable controller depends on observation mode which makes closed-loop HMJSs be stochastically bounded positive, fulfill given L <sub...

In this article, the problem of asynchronous fault detection (FD) observer design is discussed for 2-D Markov jump systems (MJSs) expressed by a Roesser model. general, FD cannot work synchronously with system, that is, mode varies system in line some conditional transitional probabilities. For dealing difficult point, hidden model (HMM) employed. Then, combining H∞ attenuation index and H_ increscent index, multiobjective solution to formed. terms linear matrix inequality technology,...

This article proposes a novel periodic event-triggered terminal sliding mode speed regulation scheme for the networked permanent-magnet synchronous motor (PMSM). The strategy combines advantages of both control (TSMC) and mechanism. satisfied performance can be guaranteed by using TSMC to compensate external disturbances parameter uncertainties. communication burden between central controller remote is reduced protocol. To reduce <italic xmlns:mml="http://www.w3.org/1998/Math/MathML"...

This paper concerns the issue of finite-time dissipative asynchronous output feedback control for a wind turbine system that can be modelled as Markov jump Lur'e systems. Due to quantisation, time delays and ubiquitous data dropouts, actual controller modes in practical application cannot always operate synchronously with plant modes. To conquer this difficulty, hidden model is employed provide some estimated information controlling. In addition, by Lyapunov function approach linear matrix...

&lt;p style='text-indent:20px;'&gt;The hydraulic servo actuators (HSA) are often used in the industry tasks that request great powers, high accuracy and dynamic motion. It is well known HSA a highly complex nonlinear system, system parameters cannot be accurately determined due to various uncertainties, inability measure some parameters, disturbances. This paper considers control problem of with unknown dynamics, based on adaptive programming via output feedback. Due increasing practical...

&lt;abstract&gt;&lt;p&gt;Hydraulic servo actuators (HSAs) are often used in the industry tasks that request great power, high accuracy and dynamic motion. It is well known an HSA a highly complex nonlinear system, system parameters cannot be accurately determined due to various uncertainties, inability measure some disturbances. This paper considers event-triggered learning control problem of with unknown dynamics based on adaptive programming (ADP) via output feedback. Due increasing...

This paper studies the finite-time <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">H</i> <sub xmlns:xlink="http://www.w3.org/1999/xlink">∞</sub> control problem for time-delay nonlinear jump systems via dynamic observer-based state feedback by fuzzy Lyapunov-Krasovskii functional approach. The Takagi-Sugeno (T-S) model is first employed to represent presented Markov (MJSs) with time delays. Based on selected functional, controller constructed...

The finite-time sliding mode controller design problem of a class conic-type nonlinear systems with time-delays and mismatched external disturbance is studied. time-delay conic nonlinearities are considered to lie in known hypersphere an uncertain center. A scalar selection criterion dependent control (SMC) law constructed drive the state trajectories onto specified surface during any assigned short time interval. By using slack matrix approach, delay-dependent sufficient condition derived...

Summary Joint estimation of states and time‐varying parameters linear stochastic systems is practical importance for fault diagnosis tolerant control. The known fact that measurements have outliers. They can significantly degrade the properties linearly recursive algorithms, which are designed to work in presence Gaussian noises. This article proposes two kinds strategies joint parameter‐state robust models all possible faults non‐Gaussian In form Theorem, algorithm with sensor component...

This article focuses on the finite-time asynchronous output feedback control scheme for a class of Markov jump systems subject to external disturbances and nonlinearities. The conic-type nonlinearities hold constraint condition which locates in known hyper-sphere with an indefinite center. In addition, asynchronization phenomenon occurs between system controller, can be represented by means hidden model. A sufficient is derived not only guarantee boundedness acquired closed-loop but also...

This work investigates the observer-based asynchronous fault detection problem for a class of nonlinear Markov jumping systems. The conic-type nonlinearities hold such restrictive condition that locates in known hypersphere with an undefined centre. In order to guarantee observer modes run synchronously system modes, we introduce hidden model deal this difficulty. Utilizing H <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">∞</sub> and...

Abstract An online adaptive optimal control problem for a class of nonlinear Markov jump systems (MJSs) is studied. It worth noting that the dynamic information MJSs partially unknown. Applying neural network linear differential inclusion techniques, terms in are approximately converted to forms. By using subsystem transformation schemes, we can transfer N new coupled subsystems. Then policy iteration algorithm put forward obtain controller. Some theorems given afterward ensure convergence...

This paper investigates the asynchronous resilient controller design problem for a class of nonlinear switched systems with time-delays and uncertainties in given finite-time interval. By constructing proper multiple Lyapunov-Krasovskii functions applying average dwell time methods, switching law relevant are designed to guarantee boundedness closedloop system specified H <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">∞</sub> performance index....

This study investigates the robust fault detection filter design problem for a class of discrete‐time conic‐type non‐linear Markov jump systems with signals. The non‐linearities satisfy restrictive condition that lies in an n ‐dimensional hyper‐sphere uncertain centre. A crucial idea is to formulate as filtering problem. authors aim such augmented are stochastically stable and given performance against external disturbances. By means appropriate mode‐dependent Lyapunov functional method,...

This paper proposes an adaptive tracking control scheme for electronic throttle valve (ETV) based on recursive terminal sliding mode (RTSM) strategy in the presence of parametric uncertainties and lumped disturbance. The developed RTSM dynamical structure controller is composed a fast nonsingular surface integral function, such that not only reaching phase eliminated, but also sequential finite-time zero-convergence both surfaces position error are guaranteed. Due to difficulty ensuring...

This article investigates the antidisturbance control issue for a class of Markovian jump systems with matched/mismatched disturbances by using disturbance observer approach. A key feature here is that external considered to be generated exogenous dynamics, in which mode may not synchronized system mode. Meanwhile, it supposed both and modes can just estimated via hidden Markov detector. To overcome possible obstacle handling dual modes, mapping technique continuous-time chain provided...