Focusing on enhancing students' mathematical problem-solving skills, this second edition builds on the original framework while offering expanded and updated content in each chapter. The revisions aim to provide a more comprehensive approach to tackling mathematical challenges.
"Optimal Observation for Cyber-physical Systems" explores the interaction of computing systems with physical processes, focusing on wireless sensor networks (WSNs). It presents a unified theoretical framework for addressing the trade-off between precise estimates and system constraints, utilizing the Fisher information matrix. The book includes practical MATLAB® files and is aimed at researchers in WSNs and related fields.
This book provides readers with a comprehensive coverage of iterative learning control. The book can be used as a text or reference for a course at graduate level and is also suitable for self-study and for industry-oriented courses of continuing education.Ranging from aerodynamic curve identification robotics to functional neuromuscular stimulation, Iterative Learning Control (ILC), started in the early 80s, is found to have wide applications in practice. Generally, a system under control may have uncertainties in its dynamic model and its environment. One attractive point in ILC lies in the utilisation of the system repetitiveness to reduce such uncertainties and in turn to improve the control performance by operating the system repeatedly. This monograph emphasises both theoretical and practical aspects of ILC. It provides some recent developments in ILC convergence and robustness analysis. The book also considers issues in ILC design. Several practical applications are presented to illustrate the effectiveness of ILC. The applied examples provided in this monograph are particularly beneficial to readers who wish to capitalise the system repetitiveness to improve system control performance.