Bøger i Advanced Textbooks in Control and Signal Processing serien

How can a signal be processed for which there are few or no a priori data? This text covers Kalman and Wiener filters, neural networks, genetic algorithms and fuzzy logic systems together in a unified treatment. It is useful for one-semester introductory graduate or senior undergraduate courses.

Early and accurate fault detection and diagnosis for modern chemical plants can minimize downtime, increase the safety of plant operations, and reduce manufacturing costs.

This comprehensive book gives a overview of the latest discussions in the application of genetic algorithms to solve engineering problems. Featuring real-world applications and an accompanying disk, giving the reader the opportunity to use an interactive genetic algorithms demonstration program.

The second edition of "Model Predictive Control" provides a thorough introduction to theoretical and practical aspects of the most commonly used MPC strategies. It bridges the gap between the powerful but often abstract techniques of control researchers and the more empirical approach of practitioners.

A comprehensive introduction to the most popular class of neural network, the multilayer perceptron, showing how it can be used for system identification and control.

Addresses robot control in depth, treating a range of model-based controllers in detail: proportional derivative; proportional integral derivative; computed torque and some adaptive variants. This book includes other areas of study important to robotics, such as kinematics, and presents case studies. It also offers auxiliary resources.