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Control and Optimization

Comparative Studies of Load Balancing With Control and Optimization Techniques

Comparative Studies of Load Balancing With Control and Optimization Techniques

... the control-based approach is still converging to approximately the same memory allocations as the ones without ...the optimization-based approach does not and thus re- sults in larger and unbalanced ...

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Swarm Optimization based Controller for Temperature Control of a Heat Exchanger

Swarm Optimization based Controller for Temperature Control of a Heat Exchanger

... Heat exchangers are one of the simplest and fundamental units in process industries such as gas processing and petrochemical industries. It exchanges the heat among more than one fluid with different temperatures ...

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Control and Optimization of Smart AC/DC Hybrid Microgrids

Control and Optimization of Smart AC/DC Hybrid Microgrids

... the control and protection ...microgrids, control shame and operating mode are ...different control strategies and power management scheme for different type of micro are ...non-linear ...

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International Journal of Industrial Electronics, Control and Optimization. 2020

International Journal of Industrial Electronics, Control and Optimization. 2020

... power control strategy is presented for ...new control strategy for MG control for operation in the islanded condition is proposed in ...swarm optimization as a metaheuristic ...frequency ...

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Discrete time hands off control by sparse optimization

Discrete time hands off control by sparse optimization

... hands-off control is a control mechanism that maximizes the length of the time duration on which the control is exactly ...a control is important for energy-aware control applications, ...

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Optimum Rotor Flux Control for Indirect Vector Control of Induction Motor using Loss Optimization

Optimum Rotor Flux Control for Indirect Vector Control of Induction Motor using Loss Optimization

... any control such motor consumes more power ,which affects the operational or running ...for optimization of rotor flux of the indirect vector control of induction ...the optimization of flux ...

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Optimization and control of hydro generation scheduling using hybrid firefly algorithm and particle swarm optimization techniques

Optimization and control of hydro generation scheduling using hybrid firefly algorithm and particle swarm optimization techniques

... Naidu, K., Mokhlis, H., & Bakar, A. H. A. (2013, 3-5 Dec. 2013). Application of firefly algorithm (FA) based optimization in load frequency control for interconnected reheat thermal power system. Paper ...

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Traffic Signal Light Optimization Control Based on Fuzzy Control and CCD Camera Technology

Traffic Signal Light Optimization Control Based on Fuzzy Control and CCD Camera Technology

... Abstract. This paper combines the fuzzy control technology with Charge Coupled Device (CCD) camera sensor technology to solve the defect of the existing traffic signal control method. CCD camera sensor ...

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Quadcopter Attitude Control Optimization and Multi-Agent Coordination

Quadcopter Attitude Control Optimization and Multi-Agent Coordination

... tuning control gains was a time con- suming and non-trivial process due to the coupled and nonlinear nature of quadcopter ...Swarm Optimization (PSO) is considered for automatic tuning of the Quadcopter ...

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Integrated production planning and control: A multi-objective optimization model

Integrated production planning and control: A multi-objective optimization model

... situation, optimization software we developed has been applied in production planning and control process, which solve the multiple management objectives in the production progress better and the ...

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Optimal Control Approaches for Some Geometric Optimization Problems

Optimal Control Approaches for Some Geometric Optimization Problems

... Abstract—This work is a survey on optimal control methods applied to shape optimization problems. The unknown cha- racter of the domain where the state system is defined creates major difficulties both for ...

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AC ship microgrids: control and power management optimization

AC ship microgrids: control and power management optimization

... meta-heuristic optimization methods by considering the minimization of operational costs and greenhouse gas emissions as their main objective function ...predictive control (MPC) based energy management ...

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Distributed optimization for control and learning

Distributed optimization for control and learning

... as control (Boyd and Vandenberghe, 2004), machine learning Sra et ...of optimization methodologies have been proposed and developed to solve numerous real-life problems including but not limited to energy ...

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Improved Optimization Process for Nonlinear Model Predictive Control of PMSM

Improved Optimization Process for Nonlinear Model Predictive Control of PMSM

... of control nonlinear and multivariable systems and also easily adding of desired constraints to the objective function, the MPC has grown both in industry and theoretical researches ...and control in ...

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Applications of Ant Colony Optimization in Control Systems, Robotics and Vision

Applications of Ant Colony Optimization in Control Systems, Robotics and Vision

... optimal control problem (NOCP) of the 3D path planning using six dimensional coupled equations controlled using DC ...Swarm optimization algorithm was however found to outperform ACO and deliver the highest ...

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APPRECIATION OF COST CONTROL AND OPTIMIZATION IN CONSTRUCTION PROJECTS: AN REVIEW

APPRECIATION OF COST CONTROL AND OPTIMIZATION IN CONSTRUCTION PROJECTS: AN REVIEW

... Georgekutty C.K, Dr. George Mathew (August - 2012) [21] the innovation of new technology in the construction field is not being adopted in project implementation. This result the growth of construction industry is slow. ...

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Distributed Control and Optimization for Communication and Power Systems

Distributed Control and Optimization for Communication and Power Systems

... Besides my advisor, I would like to thank the rest of my thesis committee: Professor John Doyle, Professor Mani Chandy, Professor P. P. Vaidyanathan and Professor Adam Wierman. It’s really my great honor to have them on ...

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Simulation and Optimization of Control of Selected Phases of Gyroplane Flight

Simulation and Optimization of Control of Selected Phases of Gyroplane Flight

... Aircraft flight altitude (H) vs time (t) during the jump takeoff, for the initial and optimized 327. procedures of gyroplane-flight control[r] ...

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Development and Optimization of Synthetic Jets to Control Active Flow

Development and Optimization of Synthetic Jets to Control Active Flow

... reattachment of the boundary layer. The main separation is thus delayed, i.e. the drag coefficient is significantly decreased. After having presented the main insights of the boundary layer control, it is of ...

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Evolutionary Many-objective Optimization of Hybrid Electric Vehicle Control: From General Optimization to Preference Articulation

Evolutionary Many-objective Optimization of Hybrid Electric Vehicle Control: From General Optimization to Preference Articulation

... It is worth noting that, in original RVEA, it may occa- sionally happen that a subpopulation becomes empty because there is no solution that falls into the subspace specified by the corresponding reference vector. As ...

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