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This paper is aimed at robust control of a Permanent magnet DC motor based actuator used in the control of the inlet swirl valve of a diesel engine. The actuator has uncertainty issues related to parameter identification and variation, and load disturbance. These issues lead to faults in controllers, resulting in poor performance and failure. The actuator has been modeled taking parameter uncertainties...
Sufficient conditions are given for the stability of linear switched systems with dwell time and with polytopic type parameter uncertainty. A Lyapunov function, in quadratic form, which is non-increasing at the switching instants is assigned to each subsystem. During the dwell time, this function varies piecewise linearly in time after switching occurs. It becomes time invariant afterwards. This function...
The problem of infinite-horizon H∞ state-feedback tracking for linear continuous time-invariant retarded systems with stochastic parameter uncertainties is investigated. We consider the case where the reference signal is previewed in a fixed time-interval ahead. The stochastic uncertainties appear in the dynamics matrices for both the retarded and the non retarded states of the system. The delayed...
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...
An output-feedback direct adaptive control problem is considered for a class of linear time delayed measurements systems with polytopic-type parameter uncertainties and disturbances. The objective is to make the system output follow the output of a system model and to attain guaranteed H∞ performance of the proposed adaptive control scheme. The time-delay is either constant (known) or time-varying...
The design of exponentially stable interval observers is often subject to assumptions related to monotone influences in the vector field. This may lead to significant restrictions, especially when the response of systems exhibiting an oscillatory behavior should be over-approximated under uncertain inputs. In order to overcome this issue, a stable interval observer for LTI systems with bounded inputs...
This paper deals with state estimation and fault detection in the presence of unknown but bounded state perturbations and measurement noise. In this context, most available results are for linear models. Based on interval analysis, a state estimator for nonlinear dynamical systems is presented. Given the perturbation and noise bounds, the proposed method evaluates a set estimate guaranteed to contain...
This paper deals with a convex optimization approach to the problem of robust network-based H∞ control for linear systems connected over a common digital communication network with norm-bounded parameter uncertainties. Firstly, we investigate the effect of both the output quantization levels and the network conditions under static quantizers. Secondly, by introducing a descriptor technique, using...
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