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

System Identification I

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Stochastic Processes And Filtering Theory

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Introduction To Infinite Dimensional Linear Systems Theory

https://hal.archives-ouvertes.fr/hal-01363448/document

Recent developments on the stability of systems with aperiodic sampling: An overview

The problem of observer design is addressed for a class of triangular nonlinear systems with not-necessarily small delay and sampled output measurements. One more difficulty is that the system state matrix is dependent on the un-delayed output signal which is not accessible to measurement, making existing observers inapplicable. A new chain observer, composed of m elementary observers in series, is designed to compensate for output sampling and arbitrary large delays. The larger the time-delay the larger the number m. Each elementary observer includes an output predictor that is conceived to compensate for the effects of output sampling and a fractional delay. The predictors are defined by first-order ordinary differential equations (ODEs) much simpler than those of existing predictors which involve both output and state predictors. Using a small gain type analysis, sufficient conditions for the observer to be exponentially convergent are established in terms of the minimal number m of elementary observers and the maximum sampling interval.

Sampled-data chain-observer design for a class of delayed nonlinear systems

This paper deals with the power generation control in variable speed wind turbines. In this context, a control strategy is proposed to ensure power extraction optimization of a DFIG-based wind turbine. The proposed control strategy combines an MPPT using a high gain observer and second-order sliding mode for the DFIG control. This strategy presents attractive features such as chattering-free behavior, finite reaching time, robustness and unmodeled dynamics (generator and turbine). The overall strategy has been validated on a 1.5-MW three-blade wind turbine using the NREL wind turbine simulator FAST.

DFIG-Based Wind Turbine Robust Control Using High-Order Sliding Modes and a High Gain Observer

In order to achieve robust output tracking for a class of uncertain triangular systems, a combination of a robust sliding observer and a backstepping procedure is introduced.

Sliding observer-controller design for uncertain triangular nonlinear systems

Adaptive boundary observer for parabolic PDEs subject to domain and boundary parameter uncertainties

This paper deals with the modeling and the sensorless control of a variable speed DFIG-based marine current turbine. The proposed MPPT sensorless control strategy relies on the resource and the marine turbine models that were validated by experimental data. The sensitivity of the proposed control strategy is analyzed regarding the swell effect as it is considered as the most disturbing one for the resource model. Tidal current data from the Raz de Sein (Brittany, France) are used to run simulations of a 7.5-kW prototype over various flow regimes. Simulation results are presented and fully analyzed.

/pdf/modeling-and-mppt-sensorless-control-of-a-dfig-based-marine-5cflumscn6.pdf

Tarek Ahmed-Ali

Papers

Sampled-data chain-observer design for a class of delayed nonlinear systems

DFIG-Based Wind Turbine Robust Control Using High-Order Sliding Modes and a High Gain Observer

Sliding observer-controller design for uncertain triangular nonlinear systems

Adaptive boundary observer for parabolic PDEs subject to domain and boundary parameter uncertainties

Modeling and MPPT sensorless control of a DFIG-Based marine current turbine