Bøger i Advances in Design and Control serien

Introduces optimal control methods, formulated as optimization problems, applied to business dynamics problems. The book includes solutions that provide a rationale for the use of optimal control and guidelines for further investigation into more complex models.

Combines nonlinear optimization, mathematical control theory, and numerical solution of ordinary differential/differential-algebraic equations to solve optimal control problems.

Explores nonlinear observability. The book provides a modern theory of observability based on a new paradigm borrowed from theoretical physics and the mathematical foundation of that paradigm. In the case of observability, this framework takes into account the group of invariance that is inherent to the concept of observability.

The authors provide a comprehensive treatment of stochastic systems from the foundations of probability to stochastic optimal control.

The authors present a unified computational methodology for the analysis and synthesis of piecewise affine controllers, taking an approach that is capable of handling sliding modes, sampled-data, and networked systems.

Discusses sliding mode control of uncertain nonlinear systems, with a particular emphasis on advanced and optimization based algorithms. This is the first book to systematize the theory of optimization based higher order sliding mode control and illustrate advanced algorithms and their applications to real problems.

Outlines the main contributions to the field of passive network synthesis and presents new research into the enumerative approach and the classification of networks of restricted complexity. This book serves as both an ideal introduction to the topic and a definitive treatment of the Ladenheim catalogue.

Presents new computational tools for the H8 control of distributed parameter systems in which transfer functions are considered as input-output descriptions for the plants to be controlled. The emphasis is on the computation of the controller parameters and reliable implementation.

For over a quarter of a century, high-gain observers have been used extensively in the design of output feedback control of nonlinear systems. This book presents a clear, unified treatment of the theory of high-gain observers and their use in feedback control. Also provided is a discussion of the separation principle for nonlinear systems.

Presents the latest ground-breaking theoretical foundation to shape optimization in a form that can be used by the engineering and scientific communities. It also clearly explains the state-of-the-art developments in a mathematical language that will attract mathematicians to open questions in this important field.

This concise and highly-usable textbook presents an introduction to backstepping, an elegant new approach to boundary control of partial differential equations (PDEs). Readers are introduced to constructive control synthesis and Lyapunov stability analysis for distributed parameter systems.

This unique book discusses the foundations of game theory, its applications to engineering systems, and new trends, and is ideal for both students and researchers.

A focused presentation of how sparse optimization methods can be used to solve optimal control and estimation problems.

Discusses analysis and design techniques for linear feedback control systems using MATLAB(R) software. By reducing the mathematics, increasing MATLAB working examples, and inserting short scripts and plots within the text, the authors have created a resource suitable for almost any type of user.

A practical, entry-level text integrating the basic principles of applied mathematics and probability, and computational science.

Presents flow control and optimization as a subdiscipline of computational mathematics and computational engineering. It introduces the development and analysis of several approaches for solving flow control and optimization problems through the use of modern CFD and optimization methods.

The performance of a process - for example, how an aircraft consumes fuel - can be enhanced when the most effective controls and operating points for the process are determined. This book provides a rigorous introduction to analysing these processes and finding the best modes of control and operation for them.

Presents the design, analysis, and application of a variety of algorithms used to manage dynamical systems with unknown parameters.

Analyses Lagrange multiplier theory and demonstrates its impact on the development of numerical algorithms for variational problems in function spaces.

Treats sizing and shape optimization in a comprehensive way, covering everything from mathematical theory through computational aspects to industrial applications.