1. Introduction. 2. Linear Algebra. 3. Linear Systems. 4. H2 and Ha Spaces. 5. Internal Stability. 6. Performance Specifications and Limitations. 7. Balanced Model Reduction. 8. Uncertainty and Robustness. 9. Linear Fractional Transformation. 10. m and m- Synthesis. 11. Controller Parameterization. 12. Algebraic Riccati Equations. 13. H2 Optimal Control. 14. Ha Control. 15. Controller Reduction. 16. Ha Loop Shaping. 17. Gap Metric and ...u- Gap Metric. 18. Miscellaneous Topics. Bibliography. Index.

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Essentials of Robust Control

This book, written by two major figures in adaptive control, provides a wealth of material for researchers, practitioners, and students. While some researchers in adaptive control may note the absence of a particular topic, the book‘s scope represents a high-gain instrument. It can be used by designers of control systems to enhance their work through the information on many new theoretical developments, and can be used by mathematical control theory specialists to adapt their research to practical needs. The book is strongly recommended to anyone interested in adaptive control.

Adaptive Control

Linear Robust Control

This paper studies a number of quantized feedback design problems for linear systems. We consider the case where quantizers are static (memoryless). The common aim of these design problems is to stabilize the given system or to achieve certain performance with the coarsest quantization density. Our main discovery is that the classical sector bound approach is nonconservative for studying these design problems. Consequently, we are able to convert many quantized feedback design problems to well-known robust control problems with sector bound uncertainties. In particular, we derive the coarsest quantization densities for stabilization for multiple-input-multiple-output systems in both state feedback and output feedback cases; and we also derive conditions for quantized feedback control for quadratic cost and H/sub /spl infin// performances.

The sector bound approach to quantized feedback control | NOVA. The University of Newcastle's Digital Repository

A lifting technique for linear periodic systems with applications to sampled-data control

Thermal Comfort Improvement by Hybrid Evaporative and Radiative Cooling Membrane

This paper proposes a novel adaptive flux observer for the stator resistance identification of speed sensorless controlled induction motors (IM). Generally, to realize the stable parameter identification, the adaptive controller requires strictly positive-realness (SPR) property for the transfer function of the error system of observer. Since this error system does not have the SPR property in the low-speed region when operated in the regenerative mode, this paper proposes a new compensation method to realize the stable stator resistance identification. Moreover, this paper provides a stability analysis for the stator resistance identification system. This paper also demonstrates the feasibility of the proposed method through simulations.

Stator resistance identification for induction motors using DyCE principle based adaptive flux observer

In this paper, we will derive complete parametrization of the H∞ FI controller and that of the H∞ sdtate feedback (SF) controller. And we will determine the obtained dynamical free parameters so that they minimizes an H2 control performance and will show the condition when the whole controller becomes a constant feedback gain other than the central solution F∞.

Parametrization of H∞ FI controller and H∞/H2 state feedback control

In this paper, a simple derivation of the Riccati equation based solutions to the standard H/sub /spl infin// control problem, namely the well-known Glover-Doyle solution and DGKF solution is given based on LMI solution. It is hoped that this will be helpful for ordinary control engineers in deepening the understanding of Riccati equation solutions.

http://www.nt.ntnu.no/users/skoge/prost/proceedings/ecc03/pdfs/190.pdf

A simple derivation of ARE solutions to the standard H/sub /spl infin//control problem based on LMI solution

We propose a novel voltage controller design procedure for voltage source inverters (VSIs) with uncertain loads, focusing on the passivity of loads. VSIs have been widely used in many applications. A VSI must regulate the load voltage to its sinusoidal reference quickly and accurately without distortion. It is essential to design a voltage controller that takes into account various load conditions since it is rarely known in advance what types of loads are connected to the VSI. In particular, it is challenging to suppress the voltage harmonic distortion caused by a nonlinear load, such as a diode rectifier, while achieving fast-tracking and zero steady-state error. A controller designed by the proposed procedure guarantees robust stability of the VSI independent of the load type and value. Namely, no information about uncertainties of load is needed to stabilize the VSI. Moreover, the proposed procedure realizes zero-steady state error, fast-tracking, and low distortion. We demonstrate the effectiveness of the proposed controller through comparative analysis with the proportional resonant (PR) and conventional robust controllers via simulations and experiments.

Kang-Zhi Liu

Papers

Thermal Comfort Improvement by Hybrid Evaporative and Radiative Cooling Membrane

Stator resistance identification for induction motors using DyCE principle based adaptive flux observer

Parametrization of H∞ FI controller and H∞/H2 state feedback control

A simple derivation of ARE solutions to the standard H/sub /spl infin//control problem based on LMI solution

Passivity-Based Robust Controller Design for Load-Independent Voltage Source Inverters