Robust exponential converge controller design for a unified chaotic system with structured uncertainties via LMI.
Robust exponential stability of a class of nonlinear systems
The paper addresses the problem of design of a robust controller for a class of nonlinear uncertain systems to guarantee the prescribed decay rate of exponential stability. The bounded deterministic uncertainties are considered both in a studied system and its input part. The proposed approach does not employ matching conditions.
Robust fault detection of singular LPV systems with multiple time-varying delays
In this paper, the robust fault detection problem for LPV singular delayed systems in the presence of disturbances and actuator faults is considered. For both disturbance decoupling and actuator fault detection, an unknown input observer (UIO) is proposed. The aim is to compute a residual signal which has minimum sensitivity to disturbances while having maximum sensitivity to faults. Robustness to unknown inputs is formulated in the sense of the H∞ -norm by means of the bounded real lemma (BRL)...
Robust Feedback Control Design for a Nonlinear Wastewater Treatment Model
In this work we deal with the design of the robust feedback control of wastewater treatment system, namely the activated sludge process. This problem is formulated by a nonlinear ordinary differential system. On one hand, we develop a robust analysis when the specific growth function of the bacterium μ is not well known. On the other hand, when also the substrate concentration in the feed stream sin is unknown, we provide an observer of system and propose a design of robust feedback control in...
Robust Filtering for Correlated Multidimensional Oberservations.
Robust filtering for state and fault estimation of linear stochastic systems with unknown disturbance.
Robust fractional adaptive control based on the strictly Positive Realness Condition
This paper presents a new approach to robust adaptive control, using fractional order systems as parallel feedforward in the adaptation loop. The problem is that adaptive control systems may diverge when confronted with finite sensor and actuator dynamics, or with parasitic disturbances. One of the classical robust adaptive control solutions to these problems makes use of parallel feedforward and simplified adaptive controllers based on the concept of positive realness. The proposed control scheme...
Robust H control for a class of uncertain neutral systems with both state and control input time-varying delays via a unified LMI optimization approach
Robust control of an uncertain system via a stable decentralized output feedback controller
This paper presents a procedure for constructing a stable decentralized output feedback controller for a class of uncertain systems in which the uncertainty is described by Integral Quadratic Constraints. The controller is constructed to solve a problem of robust control. The proposed procedure involves solving a set of algebraic Riccati equations of the control type which are dependent on a number of scaling parameters. By treating the off-diagonal elements of the controller transfer function...
Robust hierarchical sliding mode control with state-dependent switching gain for stabilization of rotary inverted pendulum
The rotary inverted pendulum (RIP) system is one of the fundamental, nonlinear, unstable and interesting benchmark systems in the field of control theory. In this paper, two nonlinear control strategies, namely hierarchical sliding mode control (HSMC) and decoupled sliding mode control (DSMC), are discussed to address the stabilization problem of the RIP system. We introduced HSMC with state-dependent switching gain for stabilization of the RIP system. Numerical simulations are performed to analyze...
Robust high-gain observer for nonlinear closed-loop stochastic systems.
Robust identification of parasitic feedback disturbances for linear lumped parameter systems
We study the problem of identification of an input to a linear finite-dimensional system. We assume that the input has a feedback form, which is related to a problem often encountered in fault detection. The method we use is to embed the identification problem in a class of inverse problems of dynamics for controlled systems. Two algorithms for identification of a feedback matrix based on the method of feedback control with a model are constructed. These algorithms are stable with respect to noise-corrupted...
Robust impedance control of a piezoelectric stage under thermal and external load disturbances
Robust impulsive synchronization of discrete dynamical networks.
Robust Kalman filter and its application in time series analysis
Robust filtering of time-delay jump systems with respect to the finite-time interval.
Robust methods in exponential smoothing
Robust multisensor fault tolerant model-following MPC design for constrained systems
In this paper, a robust fault-tolerant control strategy for constrained multisensor linear systems, subject to sensor faults and in the presence of bounded state and output disturbances, is proposed. The scheme verifies that, for each sensors-estimator combination, suitable residual variables lie inside pre-computed sets and selects a more appropriate combination based on a chosen criterion. An active fault tolerant output feedback controller yields an MPC-based control law and, by means of the...
Robust neural network control of robotic manipulators via switching strategy
In this paper, a robust neural network control scheme for the switching dynamical model of the robotic manipulators has been addressed. Radial basis function (RBF) neural networks are employed to approximate unknown functions of robotic manipulators and a compensation controller is designed to enhance system robustness. The weight update law of the robotic manipulator is based on switched multiple Lyapunov function method and the periodically switching law which is suitable for practical implementation...
Robust nonlinear observer design for actuator fault detection in diesel engines
This paper is concerned with actuator fault detection in nonlinear systems in the presence of disturbances. A nonlinear unknown input observer is designed and the output estimation error is used as a residual for fault detection. To deal with the problem of high Lipschitz constants, a modified mean-value theorem is used to express the nonlinear error dynamics as a convex combination of known matrices with time-varying coefficients. Moreover, the disturbance attenuation is performed using a modified...