Results 301 to 310 of about 35,258,269 (345)
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An Optimally Controlled Respirator
IEEE Transactions on Biomedical Engineering, 1971An optimally controlled respirator was developed. It has three main features: 1) ventilation is controlled by the patient's metabolic rate from continuously measured C0 2 output, 2) physiologic dead space approximated as a linear function of tidal volume is used to estimate alveolar ventilation, and 3) respiratory rate is computed to minimize ...
Y, Mitamura +3 more
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Distributed Optimization for Control
Annual Review of Control, Robotics, and Autonomous Systems, 2018Advances in wired and wireless technology have necessitated the development of theory, models, and tools to cope with the new challenges posed by large-scale control and optimization problems over networks. The classical optimization methodology works under the premise that all problem data are available to a central entity (a computing agent or node).
Angelia Nedic, Ji Liu 0001
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Optimal control of a bioreactor
Applied Mathematics and Computation, 2010zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lino J. Alvarez-Vázquez +1 more
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Design of Optimal Feedback for Structural Control, 2021
L. T. Ashchepkov +3 more
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L. T. Ashchepkov +3 more
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Optimal controllers are fragile
Proceedings of the 2003 American Control Conference, 2003., 2004Optimal controllers are structurally unstable. The instability is intrinsic because of constrained optimization. This kind of instability is sometimes identified with "fragility" in the control literature. The fragility is related to hidden degeneracies in the polynomials and matrices of the optimized systems, and may detected by looking for certain ...
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Proceedings of 35th IEEE Conference on Decision and Control, 1995
Mi-Ching Tsai, D. Gu
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Mi-Ching Tsai, D. Gu
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Proceedings of the 2000 American Control Conference. ACC (IEEE Cat. No.00CH36334), 2000
For discrete-time control-affine systems on an infinite interval, an analytical solution of the greedy optimal control problem is presented. The "greedy" formulation of the optimal control problem calls for minimization of the instantaneous cost function, rather than the cumulative one, as in the conventional optimal control.
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For discrete-time control-affine systems on an infinite interval, an analytical solution of the greedy optimal control problem is presented. The "greedy" formulation of the optimal control problem calls for minimization of the instantaneous cost function, rather than the cumulative one, as in the conventional optimal control.
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Automatica, 1969
It is indicated that optimal stochastic control is still in its infancy, and that at the present time it has little use in practice although a wide class of problems can be precisely stated. A brief survey of the problem involved in attempting to formulate and to solve optimal stochastic control problems is discussed along with the corresponding ...
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It is indicated that optimal stochastic control is still in its infancy, and that at the present time it has little use in practice although a wide class of problems can be precisely stated. A brief survey of the problem involved in attempting to formulate and to solve optimal stochastic control problems is discussed along with the corresponding ...
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1973
Recently, a number of general methods for obtaining necessary conditions for optimality have been derived (see [2],[3],[5]). In [4], the author has given a general method, starting from the following basic problem: BP(S,f): “Given a set S in Rn and a function f: Rn →R1 , determine xeS such that f(x) is maximal”.
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Recently, a number of general methods for obtaining necessary conditions for optimality have been derived (see [2],[3],[5]). In [4], the author has given a general method, starting from the following basic problem: BP(S,f): “Given a set S in Rn and a function f: Rn →R1 , determine xeS such that f(x) is maximal”.
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Optimal Control of Systems Governed by Partial Differential Equations
, 1971J. Lions
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