The identi cation of dynamical systems on the basis of data, measured under closed-loop experimental conditions, is a problem which is highly relevant in many (industrial) applications. When using models as a basis for model-based robust control design both nominal models and model uncertainty bounds are required. In this paper it is shown how -in particularmodel uncertainty bounds can be obtai...

In this paper, a novel speed control algorithm of DC motors is presented. The key contribution here is a simple speed controller only with speed feedback and without an inner current control loop. This is possible by adjusting the reference speed based on a certain rule. Therefore, the proposed speed controller here becomes simpler while maintaining the control performance. Moreover, with the p...

This paper addresses robust frequency control in an islanded ac microgrid (MG). In an islanded MG with renewable sources, load change, wind power fluctuation, and sun irradiation power disturbance as well as dynamical perturbation, such as damping coefficient and inertia constants, can significantly influence the system frequency, and hence the MG frequency control problem faces some new challe...

This paper presents new adaptive robust control schemes for a class of nonlinear uncertain descriptor systems. Taking both the structured and unstructured uncertainties into consideration, the first control scheme achieves asymptotic stability of the closed-loop descriptor system. To avoid any potential problems such as parameter drift by unmodeled dynamics, in the second control scheme the ada...

••• •• y.c. ZHU , A.C.P.M. BACKX· and P. EYKHOFF IPooS Group, Datex Industry Tinnegieterstraat 12, NL-5232 BM 's-Hertogenbosch The Netherlands tel. 31-73-412225, fax: 31-73-426055 Dept. EE, Eindhoven University of Technology P.O. Box 513, NL-5600 MB Eindhoven The Netherlands Tel. 31-40-473300

Abstract---This paper deals with the problem of decentralized robust control for a class of interconnected uncertain systems with state delays. The parameter uncertainties are unknown but norm-bounded. A new sufficient condition is obtained for each subsystem and overall system to be stabilizable via linear memoryless state feedback robust decentralized controllers. The results depend on the si...

Adaptive Robust Control (ARC) is a synergistic combination of adaptive control and deterministic robust control (DRC). It provides a robust performance with predictable transients while avoiding chattering typical in DRC. Antiintegration windup mechanism is built in the ARC and thus the problem of control saturation is alleviated. In this paper, ARC is applied to the motion control of machine t...

Control system models must often explicitly incorporate in them “uncertainties”, which model a number of factors, including: dynamics that are neglected to make the model tractable, as with large scale structures; nonlinearities that are either hard to model or too complicated; and parameters that are not known exactly, either because they are hard to measure or because of varying manufacturing...

Robust control systems may successfully be designed by ~'=-optimization, in particular, by reformulating the design problem as a mixed sensitivity problem. Abstract-The paper presents a tutorial exposition of ~=-optimal regulation theory, emphasizing the relevance of the mixed sensitivity problem for robust control system design.