Titlebook: Optimization and Optimal Control; Theory and Applicati Altannar Chinchuluun,Panos M. Pardalos,Ider Tseve Book 2010 Springer Science+Busine

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Online Adaptive Optimal Control Based on Reinforcement Learning,ts nonlinear systems. The optimal control solution is obtained in a direct fashion, without system identification. The optimal adaptive control algorithm is derived in a continuous-time framework. The algorithm is an online approach to policy iterations based on an adaptive critic structure to find

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A Nonlinear Optimal Control Approach to Process Scheduling,pter, we present an optimal control approach, recognizing that process scheduling problems can be modeled as dynamic systems, where flows are control variables and volumes and composition are state variables. This approach yields a nonlinear optimal control model with continuous state and control va

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Gábor Kassayicient at . things but hopelessly inefficient at . them (it even has a law preventing the spread of department stores). However, the Japanese are hardly likely to agree with Adam Smith’s assertion that ‘The interest of the producers ought to be attended to, only so far as it may be necessary for pro

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George Isacicient at . things but hopelessly inefficient at . them (it even has a law preventing the spread of department stores). However, the Japanese are hardly likely to agree with Adam Smith’s assertion that ‘The interest of the producers ought to be attended to, only so far as it may be necessary for pro