Robin J. Evans – författare

Kalman filter, particle filter, IMM, PDA, ITS, random sets... The number of useful object-tracking methods is exploding. But how are they related? How do they help track everything from aircraft, missiles and extra-terrestrial objects to people and lymphocyte cells? How can they be adapted to novel applications? Fundamentals of Object Tracking tells you how. Starting with the generic object-tracking problem, it outlines the generic Bayesian solution. It then shows systematically how to formulate the major tracking problems - maneuvering, multiobject, clutter, out-of-sequence sensors - within this Bayesian framework and how to derive the standard tracking solutions. This structured approach makes very complex object-tracking algorithms accessible to the growing number of users working on real-world tracking problems and supports them in designing their own tracking filters under their unique application constraints. The book concludes with a chapter on issues critical to successful implementation of tracking algorithms, such as track initialization and merging.

The area of hybrid dynamical systems (HDS) represents a difficult challenge to control engineers and is referred to as "the control theory of tomorrow" due to its future potential for solving problems. This relatively new discipline bridges control engineering, mathematics and computer science. There is now an emerging literature on this topic descibing a number of mathematical models, heuristic algorithms and stability criteria. This text focuses on a comprehensive development of HDS theory and integrates results established by the authors. The work is a self-contained text/reference covering several theoretically interesting and practically significant problems concerning the use of switched controllers. Also under examination is the sensor scheduling problems. The emphasis is on classes of uncertain systems as models for HDS.The volume: focuses on the design of robust hybrid dynamical systems in a logical manner; provides extensive coverage of dynamic programming concepts; applies hybrid control systems framework to two classical robust control problems (design of an optimal stable controller for a linear system and simultaneous stabilization of a collection of plants); presents a detailed treatment of stability and H-infinity problems; covers recent original results with complete mathematically rigorous proofs. Researchers and postgraduate students in control engineering, applied mathematics and theoretical computer science should find this book covers the latest results in this area of research; and advanced engineering practitioners and applied researchers working in areas of control engineering, signal processing, communications and fault detection should also find it an up-to-date resource.