Bøger af Graham Goodwin

This book provides a comprehensive treatment of the principles underlying optimal constrained control and estimation. The contents progress from optimisation theory, fixed horizon discrete optimal control, receding horizon implementations and stability conditions, explicit solutions and numerical algorithms, moving horizon estimation, and connections between constrained estimation and control. Several case studies and further developments illustrate and expand the core principles.Specific topics covered include:¿ An overview of optimisation theory.¿ Links to optimal control theory, including the discrete minimum principle.¿ Linear and nonlinear receding horizon constrained control including stability.¿ Constrained control solutions having a finite parameterisation for specific classes of problems.¿ Numerical procedures for solving constrained optimisation problems.¿ Output feedback optimal constrained control.¿ Constrained state estimation.¿ Duality between constrained estimation and control.¿ Applications to finite alphabet control and estimation problems, cross-directional control, rudder-roll stabilisation of ships, and control over communication networks.The book gives a self-contained treatment of the subject assuming that the reader has basic background in systems theory, including linear control, stability and state space methods. It is suitable for use in senior level courses and as material for reference and self-study. A companion website is continually updated by the authors.

Virtually every advanced engi neering system we come in contact with these days depends upon some form of sampling and digital signal processing. Our observation of the existing literature is that the underlying continuous-time system is usually forgotten once the samples are tak en.

Virtually every advanced engi neering system we come in contact with these days depends upon some form of sampling and digital signal processing. Our observation of the existing literature is that the underlying continuous-time system is usually forgotten once the samples are tak en.