An MILP approach for optimal operation of unbalanced distribution networks through coordinated network reconfiguration and SOP utilization. [PDF]
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Robust control of robot manipulator dynamics with two stages algorithm of optimal and integral sliding mode approaches. [PDF]
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Multidimensional Optimal Power Flow with Voltage Profile Enhancement in Electrical Systems via Honey Badger Algorithm. [PDF]
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Innovative parallel grasshopper optimization algorithm for reliability optimization. [PDF]
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Modeling and dynamical analysis of the impact of alcohol consumption on tuberculosis transmission with optimal control strategies. [PDF]
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Autonomous optimal control problems
Reports on Mathematical Physics, 2003zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Pontryagin (1962) and his associates developed the maximum principle for solving continuous-time control problems. Basically, the maximum (or minimum) principle provides a set of local necessary conditions for optimality. According to this method, variables analogous to the Lagrange multipliers should be introduced.
Dipak Basu, Victoria Miroshnik
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We consider discrete-time stochastic optimal control problems over a finite number of decision stages in which several controllers share different information and aim at minimizing a common cost functional. This organization can be described within the framework of “team theory.” Unlike the classical optimal control problems, linear-quadratic-Gaussian ...
Riccardo Zoppoli +3 more
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