Key points are not available for this paper at this time.
The goal of the paper is to develop a straightforward constrained optimization concept to solve nonlinear control problems for time-varying continuous-time systems. To find the closed-loop solution of the constrained optimization problem, the Hamilton-Jacobi theory is used, and an innovative conceptual framework is researched applying a nonquadratic performance functional to synthesize the bounded control laws. Nonquadratic return functions are used to solve the Hamilton-Jacobi-Bellman partial differential equation. The method developed is demonstrated through illustrative examples.
Sergey Edward Lyshevski (Thu,) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: