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Control and Estimation of Dynamical Nonlinear and Partial Differential Equation Systems - Theory and applications (Hardcover)
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Control and Estimation of Dynamical Nonlinear and Partial Differential Equation Systems - Theory and applications (Hardcover)
Series: Control, Robotics and Sensors
Expected to ship within 10 - 15 working days
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Robotic and mechatronic systems, autonomous vehicles, electric
power systems and smart grids, as well as manufacturing and
industrial production systems can exhibit complex nonlinear
dynamics or spatio-temporal dynamics which need to be controlled to
ensure good functioning and performance. In this comprehensive
reference, the authors present new and innovative control and
estimation methods and techniques based on dynamical nonlinear and
partial differential equation systems. Such results can be
classified in five main domains for the control of complex
nonlinear dynamical systems using respectively methods of
approximate (local) linearization, methods of exact (global)
linearization, Lyapunov stability approaches, control and
estimation of distributed parameter systems and stochastic
estimation and fault diagnosis methods. Control and Estimation of
Dynamical Nonlinear and Partial Differential Equation Systems:
Theory and applications will be of interest to electrical
engineering, physics, computer science, robotics and mechatronics
researchers and professionals working on control problems,
condition monitoring, estimation and fault diagnosis and isolation
problems. It will also be useful to skilled technical personnel
working on applications in robotics, energy conversion,
transportation and manufacturing.
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