
doi: 10.1002/asjc.769
AbstractOptimal control of a variable time impulse system is considered in this study. Besides impulse control, the system is assumed to operate with continuous control also. Necessary conditions for the optimization of such system are derived using the calculus of variations. A reinforcement based solution technique called a single network adaptive critic (SNAC) method is developed in this paper to obtain an optimal solution. Details of theSNAC‐based algorithm are presented. Simulation examples are also presented for illustrative purposes.
single network adaptive critic method, optimal control, neural network, Impulsive optimal control problems, Other numerical methods in calculus of variations, variable time, Optimality conditions for problems involving ordinary differential equations, impulse control
single network adaptive critic method, optimal control, neural network, Impulsive optimal control problems, Other numerical methods in calculus of variations, variable time, Optimality conditions for problems involving ordinary differential equations, impulse control
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