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Optimal Trajectory Tracking of Nonlinear Dynamical Systems (Hardcover, 1st ed. 2017)
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Optimal Trajectory Tracking of Nonlinear Dynamical Systems (Hardcover, 1st ed. 2017)
Series: Springer Theses
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By establishing an alternative foundation of control theory, this
thesis represents a significant advance in the theory of control
systems, of interest to a broad range of scientists and engineers.
While common control strategies for dynamical systems center on the
system state as the object to be controlled, the approach developed
here focuses on the state trajectory. The concept of precisely
realizable trajectories identifies those trajectories that can be
accurately achieved by applying appropriate control signals. The
resulting simple expressions for the control signal lend themselves
to immediate application in science and technology. The approach
permits the generalization of many well-known results from the
control theory of linear systems, e.g. the Kalman rank condition to
nonlinear systems. The relationship between controllability,
optimal control and trajectory tracking are clarified. Furthermore,
the existence of linear structures underlying nonlinear optimal
control is revealed, enabling the derivation of exact analytical
solutions to an entire class of nonlinear optimal trajectory
tracking problems. The clear and self-contained presentation
focuses on a general and mathematically rigorous analysis of
controlled dynamical systems. The concepts developed are visualized
with the help of particular dynamical systems motivated by physics
and chemistry.
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