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This paper deals with the problem of stochastic robust asymptotically stability for a class of uncertain stochastic nonlinear time-varying systems with time-delays. The parametric uncertainties are assumed to be time-varying and norm bounded. The time-delay factors are unknown and time-varying with known bounds. The aim of this paper is to design a memory less state feedback control law such that...
The present paper uses set theoretic methods for the design of a fault tolerant control scheme in the case of a multisensor application. The basic principle is the separation of invariant sets for the estimations of the state and tracking error under healthy and faulty functioning. The fault scenario is based on abrupt changes of the observation equations. The main contribution is the introduction...
This paper addresses the robust (in the disturbance de-coupling sense) design problem of fault detection filters for uncertain sampled data systems. The only available signal is the output variable. A novel reduced-order unknown-input observer is proposed such that both the estimation error and the state vector vanish asymptotically, robustly with respect to disturbances affecting the continuous-time...
The concept of combining robust fault estimation within a controller system to achieve active Fault Tolerant Control (FTC) has been the subject of considerable interest in the recent literature. The current study is motivated by the need to develop model-based FTC schemes for systems that have no unique equilbria and are therefore difficult to linearise. Linear Parameter Varying (LPV) strategies are...
This paper addresses the problem of design a fault detection system for switched systems with unknown inputs. The residual generator based robust fault detection filter (RFDF) will be used, where the switching signal is assumed to be known, and the continuous states will be estimated, resulting a generation of residual signals for each linear model. Dwell-time constraint will be used to ensure the...
The flow field surrounding an underwater vehicle will change due to the influence from seabed terrains, when it navigates near seabed. The hydrodynamic coefficients of the underwater vehicle will change, and then produce a force and pitch moment, which could pull the underwater vehicle to the seabed. So it's very important for the safety of underwater vehicles while navigating near seabed to predict...
This paper presents an improved nonlinear state error feedback control algorithm using immunity single neuron, aiming at the large amount adjustable parameters and tuning hard of anti disturbance controller. Depending on the self study ability of nerve network, we use the immunity single neuron to construct adaptive parameters to implement adaptively adjustment according to the change of system errors,...
Because of the current control systems are all nonlinear control systems, how to set up a mathematical model of nonlinear control systems has been a hot issue in the study of control, such problems are solved with neural network modeling of the inverse system method. Internal Model Control (IMC) is the new control strategies evolved from the predictive control, to linear systems given by transfer...
For the three-phase pulse-width modulated (PWM) rectifiers, the controller's performance can be influenced by the mathematic model error, parameter variation and external disturbances, etc. This paper presents a robust H∞ control method for the PWM rectifiers to improve the control performance. The outer voltage loop controller and the inner current loop controller are designed separately. Based on...
This paper is concerned with the problem of the robust tracking control for a class of uncertain nonlinear system with disturbances. By utilizing the property that partition of unity can approximate any continuous function on the compact set at arbitrary precision, the robust tracking controllers with PI structure and adaptive laws are designed. The results show that the tracking errors converge to...
This paper investigates the robust synchronization of uncertain hyper chaotic Chen and Lü systems. Based on Lyapunov stability theory and adaptive control, the adaptive robust controller is designed, which achieve synchronization of the two hyper chaotic systems with an arbitrarily small error by introducing a compensator. The update laws of the unknown parameters are given and the theoretical analysis...
To shorten the steer diameter and improve maneuverability flexibility during steering, four wheels steering system of construction machinery is proposed. The steering system is constructed by mechanic-electric-hydraulic assemblies. Its construction and running principle are depicted in detail. Considering the nonlinear and time-varying uncertainty of the steering system, the controller composing of...
The problem of non-fragile static output feedback control for a class of fuzzy bilinear systems is proposed. Based on the Lyapunov stability, the sufficient conditions are derived such that the closed-loop system is asymptotically stable in the presence of the additive controller gain perturbations. The stabilization conditions are further formulated into relaxed linear matrix inequalities (LMI)....
The robust output feedback stabilization problem for uncertain discrete-time Markov jump descriptor systems with time-varying delays is discussed. Based on the restricted system equivalent (r.s.e.) transformation and by introducing new state vectors, the discussed system is transformed into a discrete-time Markov jump standard linear system with time-varying delays. Then by discussing the transformed...
This paper presents a strategy to deal with the problem of robust stability and stabilization of large-scale descriptor systems with uncertainties in both the derivative and state matrices. Using a parameter dependent Lyapunov function, we derive a LMI based sufficient condition for the stability and stabilization of the system. By solving the LMIs, a state feedback decentralized controller is obtained...
Traditionally, mobile robot design is based on wheels, tracks or legs with their respective advantages and disadvantages. Very few groups have explored designs with spherical morphology. During the past ten years, the number of robots with spherical shape and related studies has substantially increased, and a lot of work is done in this area of mobile robotics. Interest in robots with spherical morphology...
This paper applies an effective repetitive controller to the Static Synchronous Compensator (STATCOM). This hybrid controller integrated repetitive control with proportional feedback control. This approach can decrease steady-state error and improve robustness. A detailed design method is presented and the mathematical model is introduced. The simulation results demonstrate the validity of the proposed...
The present work is focused on the synthesis and the analysis of robust control techniques for rear electric traction control in 4×4 hybrid-converted CVs (Conventional Vehicles) at urban speed limits (lower than 60 Km/h). This set represents a practicable alternative for the automotive industry, improving vehicular performance and reducing considerably fossil fuel air pollution. Our goal is to design...
This paper designs the central finite-dimensional H∞ controller for linear stochastic time-varying systems with integral-quadratically bounded deterministic disturbances, that is suboptimal for a given threshold γ with respect to a modified Bolza-Meyer quadratic criterion including the attenuation control term with the opposite sign. In contrast to the previously obtained results, the paper reduces...
This paper is concerned with the problem of H∞ static output feedback (SOF) control of two-dimensional (2-D) discrete systems described by the Roesser model. By applying the 2-D Bounded Real Lemma, a design criterion for the 2-D H∞ SOF controller is derived. Since the existence condition for the SOF controller is not expressed strictly in terms of linear matrix inequalities (LMIs), then an iterative...
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