Titlebook: Control of Uncertain Systems: Modelling, Approximation, and Design; A Workshop on the Oc Bruce A. Francis,Malcolm C. Smith,Jan C. Willems C

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Model Reduction of Strongly Stable Nonstationary LPV Systems,re to control nonlinear systems along prespecified trajectories. LPV models arise naturally in such scenarios as a method to capture the possible nonlinear dynamics, while maintaining a model that is amenable to control synthesis. Frequently, when pursuing such an LPV formulation, one ends up with m

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Experiment Design for Robust Control: Why Do More Work Than Is Needed?,ing used for this optimal design [1-3]. The questions at that time addressed open-loop identification and the objective functions that were minimized were various measures of the parameter covariance matrix ., where . is the parameter vector of the model structure.

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Review of Multivariable Control Applied to the VAAC Harrier and Remaining Open Questions, QinetiQ, Vectored thrust Aircraft Advanced flight Control (VAAC) research Harrier XW175, and has been previously reported [1–3]. It was developed within the Cambridge University Engineering Department (CUED) Control Group, and much of its success depended on parallel theoretical developments within

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An Approximate Dynamic Programming Approach to Decentralized Control of Stochastic Systems,ecentralized policies for such problems is known to be NP-hard [1]. Here we focus on methods for efficiently computing meaningful suboptimal decentralized control policies. The algorithms we present here are based on approximation of optimal .-functions. We show that the performance loss associated

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An , Loop-Shaping Approach to Steering Control for High-Performance Motorcycles, The design methodology is based on the Glover-McFarlane . loop-shaping procedure. The steering compensator so designed, is seen as a possible replacement for a conventional steering damper, or as an alternative to the more recently introduced passive mechanical compensation networks. In comparison

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