Bøger i Advances in Design and Control serien

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

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.

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.

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.

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

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.

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

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

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.

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.

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

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

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.