"Optimal Control" reports on new theoretical and practical advances
essential for analysing and synthesizing optimal controls of
dynamical systems governed by partial and ordinary differential
equations. New necessary and sufficient conditions for optimality
are given. Recent advances in numerical methods are discussed.
These have been achieved through new techniques for solving
large-sized nonlinear programs with sparse Hessians, and through a
combination of direct and indirect methods for solving the
multipoint boundary value problem. The book also focuses on the
construction of feedback controls for nonlinear systems and
highlights advances in the theory of problems with uncertainty.
Decomposition methods of nonlinear systems and new techniques for
constructing feedback controls for state- and control constrained
linear quadratic systems are presented. The book offers solutions
to many complex practical optimal control problems.
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