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

Thank you for reading stochastic processes and filtering theory. Maybe you have knowledge that, people have look numerous times for their favorite novels like this stochastic processes and filtering theory, but end up in harmful downloads. Rather than reading a good book with a cup of tea in the afternoon, instead they are facing with some infectious bugs inside their computer. stochastic processes and filtering theory is available in our digital library an online access to it is set as public so you can download it instantly. Our digital library saves in multiple locations, allowing you to get the most less latency time to download any of our books like this one. Merely said, the stochastic processes and filtering theory is universally compatible with any devices to read.

Stochastic Processes And Filtering Theory

Thank you very much for downloading introduction to infinite dimensional linear systems theory. As you may know, people have search numerous times for their favorite novels like this introduction to infinite dimensional linear systems theory, but end up in malicious downloads. Rather than enjoying a good book with a cup of tea in the afternoon, instead they juggled with some harmful bugs inside their laptop.

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

A small-gain approach is presented for analyzing exponential stability of a class of (dynamical) hybrid systems. The systems considered in the paper are composed of finite-dimensional dynamics, represented by a linear ordinary differential equation (ODE), and infinite-dimensional dynamics described by a parabolic partial differential equation (PDE). Exponential stability is established under conditions involving the maximum allowable sampling period (MASP). This new stability result is shown to be useful in the design of sampled-output exponentially convergent observers for linear systems that are described by an ODE–PDE cascade. The new stability result also proves to be useful in designing practical approximate observers involving no PDEs.

/pdf/exponential-stability-analysis-of-sampled-data-ode-pde-3y9ubhxb66.pdf

Exponential Stability Analysis of Sampled-Data ODE–PDE Systems and Application to Observer Design

PDE based observer design for nonlinear systems with large output delay

The problem of observer design is addressed for output-injection nonlinear systems. A major difficulty with this class of systems is that the state equation involves an output-dependent term that is explicitly dependent on unknown parameters. As the output is only accessible to measurement at sampling times, the output-dependent term turns out to be (almost all time) subject to a double uncertainty, making previous adaptive observers inappropriate. Presently, a new hybrid adaptive observer is designed and shown to be exponentially convergent under ad-hoc conditions.

/pdf/sampled-data-adaptive-observer-for-a-class-of-state-affine-2qoepo69mb.pdf

Sampled-Data Adaptive Observer for a Class of State-Affine Output-Injection Nonlinear Systems

This work presents a set of cascade high gain observers for triangular nonlinear systems with delayed output measurement. A sufficient condition ensuring the exponential convergence of the observation error towards zero is given. This result is illustrated by some simulations.

Cascade high gain observers for nonlinear systems with delayed output measurement

This paper deals with the speed control of a variable speed DFIG-based marine current turbine Indeed, to increase the generated power and therefore the efficiency of a marine current turbine, a nonlinear controller has been proposed DFIG has been already considered for similar applications particularly wind turbine systems using mainly PI controllers However, such kinds of controllers do not adequately handle some of tidal resource characteristics such as turbulence and swell effects Indeed, these may decrease marine current turbine performances Moreover, DFIG parameter variations should be accounted for Therefore, a robust nonlinear control strategy, namely high-order sliding mode control, is proposed This 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 75-kW prototype over various flow regimes Simulation results are presented and fully analyzed

https://hal.archives-ouvertes.fr/hal-00531281/document

Tarek Ahmed-Ali

Papers

Exponential Stability Analysis of Sampled-Data ODE–PDE Systems and Application to Observer Design

PDE based observer design for nonlinear systems with large output delay

Sampled-Data Adaptive Observer for a Class of State-Affine Output-Injection Nonlinear Systems

Cascade high gain observers for nonlinear systems with delayed output measurement

High-order sliding mode control of DFIG-based marine current turbine