1# Library to Find Best eBook for Read
Author : Eitaku Nobuyama
Release : 2011
Genre :
Kind : eBook
Book Rating : 214/5 ( reviews)
Book Synopsis A Sum of Squares Optimization Approach to Robust Control of Bilinear Systems by : Eitaku Nobuyama
Download or read book A Sum of Squares Optimization Approach to Robust Control of Bilinear Systems written by Eitaku Nobuyama. This book was released on 2011. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Andreas Müller
Release : 2011-11-21
Genre : Science
Kind : eBook
Book Rating : 213/5 ( reviews)
Book Synopsis Recent Advances in Robust Control by : Andreas Müller
Download or read book Recent Advances in Robust Control written by Andreas Müller. This book was released on 2011-11-21. Available in PDF, EPUB and Kindle. Book excerpt: Robust control has been a topic of active research in the last three decades culminating in H_2/H_\infty and \mu design methods followed by research on parametric robustness, initially motivated by Kharitonov's theorem, the extension to non-linear time delay systems, and other more recent methods. The two volumes of Recent Advances in Robust Control give a selective overview of recent theoretical developments and present selected application examples. The volumes comprise 39 contributions covering various theoretical aspects as well as different application areas. The first volume covers selected problems in the theory of robust control and its application to robotic and electromechanical systems. The second volume is dedicated to special topics in robust control and problem specific solutions. Recent Advances in Robust Control will be a valuable reference for those interested in the recent theoretical advances and for researchers working in the broad field of robotics and mechatronics.
Author : Sorin Olaru
Release : 2015-12-23
Genre : Technology & Engineering
Kind : eBook
Book Rating : 87X/5 ( reviews)
Book Synopsis Developments in Model-Based Optimization and Control by : Sorin Olaru
Download or read book Developments in Model-Based Optimization and Control written by Sorin Olaru. This book was released on 2015-12-23. Available in PDF, EPUB and Kindle. Book excerpt: This book deals with optimization methods as tools for decision making and control in the presence of model uncertainty. It is oriented to the use of these tools in engineering, specifically in automatic control design with all its components: analysis of dynamical systems, identification problems, and feedback control design. Developments in Model-Based Optimization and Control takes advantage of optimization-based formulations for such classical feedback design objectives as stability, performance and feasibility, afforded by the established body of results and methodologies constituting optimal control theory. It makes particular use of the popular formulation known as predictive control or receding-horizon optimization. The individual contributions in this volume are wide-ranging in subject matter but coordinated within a five-part structure covering material on: · complexity and structure in model predictive control (MPC); · collaborative MPC; · distributed MPC; · optimization-based analysis and design; and · applications to bioprocesses, multivehicle systems or energy management. The various contributions cover a subject spectrum including inverse optimality and more modern decentralized and cooperative formulations of receding-horizon optimal control. Readers will find fourteen chapters dedicated to optimization-based tools for robustness analysis, and decision-making in relation to feedback mechanisms—fault detection, for example—and three chapters putting forward applications where the model-based optimization brings a novel perspective. Developments in Model-Based Optimization and Control is a selection of contributions expanded and updated from the Optimisation-based Control and Estimation workshops held in November 2013 and November 2014. It forms a useful resource for academic researchers and graduate students interested in the state of the art in predictive control. Control engineers working in model-based optimization and control, particularly in its bioprocess applications will also find this collection instructive.
Author : Simon Michalowsky
Release : 2020-04-17
Genre : Technology & Engineering
Kind : eBook
Book Rating : 909/5 ( reviews)
Book Synopsis Design of Distributed and Robust Optimization Algorithms. A Systems Theoretic Approach by : Simon Michalowsky
Download or read book Design of Distributed and Robust Optimization Algorithms. A Systems Theoretic Approach written by Simon Michalowsky . This book was released on 2020-04-17. Available in PDF, EPUB and Kindle. Book excerpt: Optimization algorithms are the backbone of many modern technologies. In this thesis, we address the analysis and design of optimization algorithms from a systems theoretic viewpoint. By properly recasting the algorithm design as a controller synthesis problem, we derive methods that enable a systematic design of tailored optimization algorithms. We consider two specific classes of optimization algorithms: (i) distributed, and (ii) robust optimization algorithms. Concerning (i), we utilize ideas from geometric control in an innovative fashion to derive a novel methodology that enables the design of distributed optimization algorithms under minimal assumptions on the graph topology and the structure of the optimization problem. Concerning (ii), we employ robust control techniques to establish a framework for the analysis of existing algorithms as well as the design of novel robust optimization algorithms with specified guarantees.
Author : Joost Veenman
Release : 2015
Genre :
Kind : eBook
Book Rating : 634/5 ( reviews)
Book Synopsis A General Framework for Robust Analysis and Control by : Joost Veenman
Download or read book A General Framework for Robust Analysis and Control written by Joost Veenman. This book was released on 2015. Available in PDF, EPUB and Kindle. Book excerpt: In this thesis we are concerned with the robustness analysis and control of uncertain systems. We built upon a powerful framework, the so-called integral quadratic constraint (IQC) approach, which enables us, not only to efficiently perform robust stability and performance analysis for a large class of uncertain systems, but also to systematically design robust controllers via solving linear matrix inequalities (LMIs) and convex optimization problems. Indeed, as main contribution, we reveal that the IQC-framework is not only useful for analysis purposes, but also has great potential for a rather diverse class of synthesis questions, some of which have already been addressed in the literature, while others have not. This includes scenarios such as nominal output feedback control, nominal gain-scheduling control, robust estimator or observer design, robust feedforward control, generalized l2-synthesis, multi-objective and structured controller synthesis, robust open-loop controller synthesis, gain-scheduling control with uncertain performance weights and robust controller synthesis with unstable weight, among others.
