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The objective of the paper is to determine the distributed optimal control that minimizes a given economic energy-based performance measure.
For a class of denial-of-service (DoS) attack models, the goal is to find an (optimal) causal feedback controller that minimizes a given objective function subject to safety and power constraints.
Initially, we design a bounded output feedback controller for which the region of constrained closed-loop stability is explicitly characterized and an MPC controller that minimizes a given performance objective subject to constraints.
The matrix Q that minimizes a given distance metric d ( R, R ̃ ) or that maximizes a given similarity metric s ( R, R ̃ ) is determined.
The problem of finding an optimal point that minimizes a given cost function over the common set of fixed points of a family of nonexpansive mappings is of wide interdisciplinary interest and practical importance (see [2, 7]).
The problem of finding an optimal point that minimizes a given cost function over common set of fixed points of a family of nonexpansive mappings is of wide interdisciplinary interest and practical importance (see, e.g., [10]).
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Integrating H∞ control and optimal control strategies, the fuzzy controller and observer are formulated by solving a minimization problem, which is to minimize a given quadratic performance function.
FBA returns a flux distribution through the entire metabolism which optimizes (minimizes or maximizes) a given objective function or reaction, such as ATP or biomass production.
This scheme is able to minimize a given Utility Function over a certain time horizon.
The state variables of the rail/vehicle systems are estimated by using a Kalman filter, and the active control is determined by minimizing a given performance index.
In the outer program of the bilevel optimization program, an input minimizing a given norm and satisfying input constraints is determined.
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