This chapter concludes three perspectives on multi-agent reinforcement learning (MARL): (1) cooperative MARL, which performs mutual interaction between cooperative agents; (2) equilibrium-based MARL, which focuses on equilibrium solutions among gaming agents; and (3) best-response MARL, which suggests a no-regret policy against other competitive agents. Then the authors present a general framew...

This article deals with the power-sharing control of bearingless multisector and multithree-phase permanent magnet machines. The proposed strategy allows to distribute power flows among three-phase inverters supplying machine during operation drive. technique is based on extension vector space decomposition modeling approach. components producing electromagnetic torque, i.e., <italic xmlns:mml=...

The optimal design of a plate-fin recuperator of a 200-kW microturbine was studied in this paper. The exergy efficiency, pressure drop and total cost were selected as the three important objective functions of the recuperator. Genetic Algorithm (GA) and Non-dominated Sorting Genetic Algorithm (NSGA-II) were respectively employed for single-objective and multi-objective optimizations. By opt...