Optimal and self-tuning information fusion Kalman multi-step pre... ... optimal fusion algorithm weighted by matrices<br>in the linear minimum variance (LMV) sense, a distributed<br>optimal information fusion for the steady-state Kalman multi-step<br>predictor is given for discrete linear stochastic control ...
Optimal sequential Kalman filtering with cross-correlated measur...The purpose of this paper is to present a new optimal sequential decentralized filtering algorithm for discrete time-varying linear control systems with cross-correlated noises. The new method uses a hierarchical structure to perform successive ...
Optimal control in microgrid using multi-agent reinforcement lea... ... -<br> connected mode. Firstly, the microgrid control requirements are analyzed and the objective function of<br> optimal control for microgrid is proposed. Then, a state variable ‘‘Average Electricity Price Trend’’ which<br> is used to ...
Optimal switching target-assignment based on the integral perfor... ... between flight vehicles and targets. Based on an integral performance index which represents the energy cost, the optimal switching assignment-plan is obtained. Considering the configuration variation introduced by a switching assignment-plan, an H. ...
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