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The main objective of this work is to present a general overview of research into probablistic methods for analysis and control of uncertain systems.
Modelling, Estimation and Control of Networked Complex Systems
Deals with modelling and analysis of hybrid supervisory systems.
Energy exchange is a major foundation of the dynamics of physical systems, and, hence, in the study of complex multi-domain systems, methodologies that explicitly describe the topology of energy ...
The quadratic cost optimal control problem for systems described by linear ordinary differential equations occupies a central role in the study of control systems, both from theoretical and design ...
This book presents a systematic description and case studies of chemical engineering modelling and simulation based on the MATLAB/FEMLAB tools, in support of selected topics in undergraduate and ...
In response to the exponentially increasing need to analyze vast amounts of data, Neural Networks for Applied Sciences and Engineering: From Fundamentals to Complex Pattern Recognition provides ...
The field of economics and finance is one of the few areas where the need for neural network applications is increasing. This book investigates the use of neural networks in developing real-world ...
The application of machine vision to autonomous vehicles is an important area of research with exciting applications in industry, defense, and transportation. This book presents an approach to ...
This book contains more than 150 problems and solutions on the control of linear continuous systems. The main definitions and theoretical tools are summarized at the beginning of each chapter, after ...
