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Optimal control, reinforcement learning and other optimization-based methods have been widelyapplied to control synthesis for real systems in physics, biology and robotics. However, in many complicate...
This paper describes how to efficiently solve a robust optimal control problem using recently developed primal-dual interior-point methods. Among potential applications are model predictive control. T...
We describe an efficient method for solving an optimal control problem that arises in robust model-predictive control. The problem is to design the input sequence that minimizes the peak tracking erro...
We consider the design of optimal controllers for a networked system (or a spatio-temporal system), where the dynamics of each subsystem may affect those of other subsystems with some propagation dela...
In this paper, we present an explicit state-space solution to the two-player decentralized optimal control problem. In this problem, there are two interconnected linear systems that seek to optimize a...
It is most flattering and gratifying for a nonpharmacologist, nonbiologist,nonchemist, and nonstatistician, who is at the same time a non-know-how kind of theoretician, to have his paper become a‘Cit...
The stochastic optimal control is an important research subject in structural engineering. Recently, a stochastic optimal nonlinear control method has been proposed based on the stochastic dynamical ...
This paper is concerned with an optimal control problem of anablation-transpiration cooling control system withStefan-Signorini boundary condition. The existence of weaksolution of the system is consi...
In this paper, we use the solutions of forward-backward stochastic differentialequations to get the explicit form of the optimal control for linear quadraticstochastic optimal control problem and the ...
The optimal control problem of fully coupled forward-backward stochastic systems is put forward. A necessary condition, called maximum principle, for an optimal control of the problem with the control...
The optimal control problem for an age-dependent population dynamics basedon parity ratio progression is considered. The functional analytie approach of Dubovitskiiand Milyutin is adopted in the inves...
Based on the idea of the reduction of optimal control systems in singular perturbations of Lions and a priori estimates in [4], we prove the convergence of the optimal control, state and the cost func...

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