With examples from electrical and mechanical engineering, biology and complex network analysis, researcher Michiels (computer science, Katholieke U., Leuven) and practitioner Niculescu explain how to
Future unmanned aerial vehicle (UAV) systems will have a high level of autonomy and the capability of working cooperatively in groups, providing an opportunity for new operational paradigms. In this c
A rigorous introduction to optimal control theory. This book introduces the scientist without a mathematical background to the important concepts which will enable them to analyse processes, such as a
This self-contained, practical, entry-level text integrates the basic principles of applied mathematics, applied probability, and computational science in a presentation of stochastic processes and co
This book provides a comprehensive and in-depth treatment of one of the most important control problems: the nonlinear output regulation problem. It contains up-to-date research results and algorithms
This fully revised new edition provides a self-contained presentation of the mathematical foundations, constructions and tools necessary for studying problems where the modeling, optimization or contr
A comprehensive analysis of Lagrange multiplier theory and its impact on the development of numerical algorithms for problems posed in a function space setting, which would be incomplete without a dis
This concise and practical textbook presents an introduction to backstepping, an elegant new approach to boundary control of partial differential equations (PDEs). Suitable for both beginning and adva
Perspectives in Flow Control and Optimization presents flow control and optimization as a subdiscipline of computational mathematics and computational engineering. It introduces the development and an
This book presents a comprehensive overview of the recently developed Li adaptive control theory, including detailed proofs of the main results. The key feature of the Li adaptive control theory is th
Designed to meet the needs of a wide audience without sacrificing mathematical depth and rigor, Adaptive Control Tutorial presents the design, analysis, and application of a wide variety of algorithms
By reducing the mathematics, increasing MATLAB working examples, and inserting short scripts and plots within the text, the authors have created a text suitable for almost any type of user. The MATLAB
Linear matrix inequalities have recently emerged as useful tools for solving a number of control problems. This book provides an up-to-date account of the LMI method and covers topics such as recent L
As a complementary countercurrent to the recent trend of giving a numerical analyst's account of various computational problems and algorithms in control, Bhaya and Kaszkurewica (both electrical engin
After ten years of research and development, the authors present their work on dynamic programming (DP) that can easily be applied to the reader's own situations, including those where the theoretical
The authors provide a comprehensive treatment of stochastic systems from the foundations of probability to stochastic optimal control. The book covers discrete- and continuous-time stochastic dynamic
H-infinity control underwent tremendous development in the 1980s and made considerable strides toward systematizing classical control. This book for researchers and practising mathematicians and engin
Approximation of Large-Scale Dynamical Systems provides a comprehensive picture of model reduction, combining system theory with numerical linear algebra and computational considerations. It addresses
Treats sizing and shape optimization in a comprehensive way, covering everything from mathematical theory (existence analysis, discretizations, and convergence analysis for discretized problems) throu
