Accurate identification for control: the necessity of an iterative scheme
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In this paper, a frequency-response identification technique and a robust control design method are used to set up such an iterative scheme, where each identification step uses the previously designed controller to obtain new data from the plant and the associated identification problem has been solved by means of a coprime factorization of the unknown plant.Abstract:
If approximate identification and model-based control design are used to accomplish a high-performance control system, then the two procedures must be treated as a joint problem. Solving this joint problem by means of separate identification and control design procedures practically entails an iterative scheme. A frequency-response identification technique and a robust control design method are used to set up such an iterative scheme. Each identification step uses the previously designed controller to obtain new data from the plant. The associated identification problem has been solved by means of a coprime factorization of the unknown plant. The technique's utility is illustrated by an example. >read more
Citations
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Journal ArticleDOI
Brief Virtual reference feedback tuning: a direct method for the design of feedback controllers
TL;DR: The new design method is direct and can be applied using a single set of data generated by the plant, with no need for specific experiments nor iterations, and it is shown that the method searches for the global optimum of the design criterion.
Journal ArticleDOI
From experiment design to closed-loop control
TL;DR: It is argued that a guiding principle should be to model as well as possible before any model or controller simplifications are made as this ensures the best statistical accuracy.
Journal ArticleDOI
Identification and control—closed-loop issues
TL;DR: An overview is given of some current research activities on the design of high-performance controllers for plants with uncertain dynamics, based on approximate identification and model-based control design, in dealing with the interplay between system identification and robust control design.
Book ChapterDOI
Towards a Joint Design of Identification and Control
TL;DR: The central message of this paper is to show that the global control performance criterion must determine the identification criterion, which leads to non standard identification criteria, which can be minimized by appropriate experimental set-ups.
Journal ArticleDOI
For model-based control design, closed-loop identification gives better performance
TL;DR: It is shown that, when the controller is a smooth function of the input-output dynamics and the disturbance spectrum, the best controller performance is achieved by performing the identification in closed loop with an operating controller that is the ideal controller.
References
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Book
Adaptive Optimal Control: The Thinking Man's G.P.C.
TL;DR: In this paper, the authors explore connections between adaptive control theory and practice, and treat the techniques of linear quadratic optimal control and estimation (Kalman filtering), recursive identification, linear systems theory and robust arguments.
An h, design procedure using robust stabilization of normalized coprime factors
D McFarlane,K Glover +1 more
TL;DR: In this paper, a two-stage H-based design procedure has been described which uses a normalized coprime factor approach to robust stabilization of linear systems and a loop-shaping pro-cedure is also incorporated to allow the specification of perfor- mance characteristics.
Journal ArticleDOI
An Open-loop Solution to the Approximate Closed-loop Identification Problem
TL;DR: In this article, the identification of a plant in the presence of feedback is troubled by the dependency of the controlled plant input and the noise disturbances, and a framework for open-loop identification of the coprime factors of the unknown plant is proposed.
Proceedings ArticleDOI
Fundamentals of control-oriented system identification and their application for identification in H ∞
TL;DR: This paper examines the system identification problem from the standpoint of control system design and develops an abstract theoretical framework for control-oriented system identification which makes precise such notions as identification error, algorithm convergence, and algorithm optimality from a worst-case/deterministic standpoint.
Proceedings ArticleDOI
An H/sub infinity / design procedure using robust stabilization of normalized coprime factors
Duncan McFarlane,Keith Glover +1 more
TL;DR: In this article, a two-stage H/sub infinity /-based design procedure is described, which uses a normalized coprime factor approach to robust stabilization of linear systems, and a loop-shaping procedure is incorporated to allow the specification of performance characteristics.