Displaying similar documents to “Output regulation problem for differentiable families of linear systems.”

A study on decentralized H ∞ feedback control systems with local quantizers

Guisheng Zhai, Ning Chen, Weihua Gui (2009)

Kybernetika

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In this paper, we study decentralized H ∞ feedback control systems with quantized signals in local input-output (control) channels. We first assume that a decentralized output feedback controller has been designed for a multi-channel continuous-time system so that the closed-loop system is Hurwitz stable and a desired H ∞ disturbance attenuation level is achieved. However, since the local measurement outputs are quantized by a general quantizer before they are passed to the controller, the...

Decentralized design of interconnected H ∞ feedback control systems with quantized signals

Guisheng Zhai, Ning Chen, Weihua Gui (2013)

International Journal of Applied Mathematics and Computer Science

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In this paper, we consider the design of interconnected H ∞ feedback control systems with quantized signals. We assume that a decentralized dynamic output feedback has been designed for an interconnected continuous-time LTI system so that the closed-loop system is stable and a desired H ∞ disturbance attenuation level is achieved, and that the subsystem measurement outputs are quantized before they are passed to the local controllers. We propose a local-output-dependent strategy for updating...

Direct algorithm for pole placement by state-derivative feedback for multi-inputlinear systems - nonsingular case

Taha H. S. Abdelaziz, Michael Valášek (2005)

Kybernetika

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This paper deals with the direct solution of the pole placement problem by state-derivative feedback for multi- input linear systems. The paper describes the solution of this pole placement problem for any controllable system with nonsingular system matrix and nonzero desired poles. Then closed-loop poles can be placed in order to achieve the desired system performance. The solving procedure results into a formula similar to Ackermann one. Its derivation is based on the transformation...

Optimization and pole assignment in control system design

Eric Chu (2001)

International Journal of Applied Mathematics and Computer Science

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Some elementary optimization techniques, together with some not so well-known robustness measures and condition numbers, will be utilized in pole assignment. In particular, ''Method 0'' by Kautsky et al. (1985) for optimal selection of vectors is shown to be convergent to a local minimum, with respect to the condition number . This contrasts with the misconception by Kautsky et al. that the method diverges, or the recent discovery by Yang and Tits (1995) that the method converges to...