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OPTIMAL H(INFINITY)-STATE FEEDBACK-CONTROL FOR CONTINUOUS-TIME LINEAR-SYSTEMS
(Plenum Publ CorpNew York, 1994)
NECESSARY AND SUFFICIENT OPTIMALITY CONDITIONS FOR CONTINOUS-TIME MULTIOBJECTIVE OPTIMIZATION PROBLEMS
(BENTHAM SCIENCE PUBLISHERS, 2010)
We discuss necessary and su cient conditions of optimality for nonsmooth and smooth continuous-time multiobjective optimization problems under generalized convexity assumptions.
Necessary conditions of optimality for state constrained infinite horizon differential inclusions
(2011-12-01)
This article presents and discusses necessary conditions of optimality for infinite horizon dynamic optimization problems with inequality state constraints and set inclusion constraints at both endpoints of the trajectory. ...
Necessary conditions of optimality for state constrained infinite horizon differential inclusions
(2011-12-01)
This article presents and discusses necessary conditions of optimality for infinite horizon dynamic optimization problems with inequality state constraints and set inclusion constraints at both endpoints of the trajectory. ...
Real time optimization (RTO) with model predictive control (MPC)
(PERGAMON-ELSEVIER SCIENCE LTD, 2010)
This paper studies a simplified methodology to integrate the real time optimization (RTO) of a continuous system into the model predictive controller in the one layer strategy. The gradient of the economic objective function ...
Real-time optimization of load sharing for gas compressors in the presence of uncertainty
(Elsevier, 2020-08)
This paper investigates the problem of load-sharing optimization of gas compressors in the presence of uncertainty. The objective is to operate a set of compressor units in an energy-efficient way, while at the same time ...
Filippov's selection theorem and the existence of solutions for optimal control problems in time scales
(Springer, 2014-04-01)
We obtain an extension of Filippov's Lemma to control systems in time scales, where the multifunction associated with the dynamics is delta measurable on time and Lipschitz on the state variable. Using a modified version ...
How to tune the RBF SVM hyperparameters? An empirical evaluation of 18 search algorithms
(Springer, 2021)
SVM with an RBF kernel is usually one of the best classification algorithms for most data sets, but it is important to tune the two hyperparameters C and γ to the data itself. In general, the selection of the hyperparameters ...
Discrete-time interval optimal control problem
(2019-08-03)
This paper proposes a new approach for the discrete-time interval optimal control problem. The optimal interval solution of discrete-time interval optimal control problem is obtained using the single-level constrained ...
Optimal Power Dispatch in a Microgrid
(Universidad EAFIT School of Sciences, 2016-10)