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Praise for Previous Volumes ""This book will be a useful reference to control engineers and researchers. The papers contained cover well the recent advances in the field of modern control theory.""-IEEE GROUP CORRESPONDENCE""This book will help all those researchers who valiantly try to keep abreast of what is new in the theory and practice of optimal control.""-CONTROL

Discrete-time systems. --- Control theory. --- Dynamics --- Machine theory --- DES (System analysis) --- Discrete event systems --- Sampled-data systems --- Digital control systems --- Discrete mathematics --- System analysis --- Linear time invariant systems

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The Discrete Event Simulation (DES) method has received widespread attention and acceptance by both researchers and practitioners in recent years. The range of application of DES spans across many different disciplines and research fields. In research, further development and advancements of the basic DES algorithm continue to be sought while various hybrid methods derived by combining DES with other simulation techniques continue to be developed. This book presents state-of-the-art contributions on fundamental development of the DES method, novel integration of the method with other modeling techniques as well as applications towards simulating and analyzing the performances of various types of systems. This book will be of interest to undergraduate and graduate students, researchers as well as professionals who are actively engaged in DES related work.

Discrete-time systems. --- DES (System analysis) --- Discrete event systems --- Sampled-data systems --- Digital control systems --- Discrete mathematics --- System analysis --- Linear time invariant systems --- Computer modelling & simulation

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In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems. A number of computing techniques are considered, such as methods of operator approximation with any given accuracy; operator interpolation techniques including a non-Lagrange interpolation; methods of system representation subject to constraints associated with concepts of causality, memory and stationarity; methods of system representation with an accuracy that is the best within a given class of models; methods of covariance matrix estimation;methods for low-rank

Mathematical models. --- Nonlinear systems. --- Mechanics, Applied. --- Discrete-time systems. --- DES (System analysis) --- Discrete event systems --- Sampled-data systems --- Digital control systems --- Discrete mathematics --- System analysis --- Linear time invariant systems --- Applied mechanics --- Engineering, Mechanical --- Engineering mathematics

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Automatic control --- Sliding mode control --- Industrial electronics --- Robotics --- Discrete-time systems --- Mechanical Engineering --- Engineering & Applied Sciences --- Mechanical Engineering - General --- DES (System analysis) --- Discrete event systems --- Sampled-data systems --- Digital control systems --- System analysis --- Linear time invariant systems --- Discrete mathematics

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System analysis --- Discrete-time systems --- Civil & Environmental Engineering --- Operations Research --- Engineering & Applied Sciences --- DES (System analysis) --- Discrete event systems --- Sampled-data systems --- Digital control systems --- Linear time invariant systems --- Discrete mathematics