scholarly journals Optimal control laws for traffic flow

2013 ◽  
Vol 26 (6) ◽  
pp. 617-623 ◽  
Author(s):  
K. Aihara ◽  
K. Ito ◽  
J. Nakagawa ◽  
T. Takeuchi
Keyword(s):  
Optimal Control ◽  
Traffic Flow ◽  
Control Laws

Optimal Control Laws for Axially Symmetric Solar Sails

2005 ◽  
Vol 42 (6) ◽  
pp. 1130-1133 ◽  
Author(s):  
Giovanni Mengali ◽  
Alessandro A. Quarta
Keyword(s):  
Optimal Control ◽  
Axially Symmetric ◽  
Solar Sails ◽  
Control Laws

Scheduling Strategy of Multiple Semi-Active Controllers With Information on the Disturbance and the Structural Response

2016 ◽  
Author(s):  
Kazuhiko Hiramoto ◽  
Taichi Matsuoka ◽  
Katsuaki Sunakoda
Keyword(s):  
Optimal Control ◽  
Control System ◽  
Active Control ◽  
Structural Response ◽  
Design Parameters ◽  
Control Law ◽  
Control Performance ◽  
Multiple Control ◽  
Control Laws ◽  
Scheduling Strategy

A scheduling strategy of multiple semi-active control laws for various earthquake disturbances is proposed to maximize the control performance. Generally, the semi-active controller for a given structural system is designed as a single control law and the single control law is used for all the forthcoming earthquake disturbances. It means that the general semi-active control should be designed to achieve a certain degree of the control performance for all the assumed disturbances with various time and/or frequency characteristics. Such requirement on the performance robustness becomes a constraint to obtain the optimal control performance. We propose a scheduling strategy of multiple semi-active control laws. Each semi-active control law is designed to achieve the optimal performance for a single earthquake disturbance. Such optimal control laws are scheduled with the available data in the control system. As the scheduling mechanism of the multiple control laws, a command signal generator (CSG) is defined in the control system. An artificial neural network (ANN) is adopted as the CSG. The ANN-based CSG works as an interpolator of the multiple control laws. Design parameters in the CSG are optimized with the genetic algorithm (GA). Simulation study shows the effectiveness of the approach.

Periodic Optimal Control of Dampers

1997 ◽  
Author(s):  
Prakash S. Kasturi ◽  
Pierre E. Dupont
Keyword(s):  
Optimal Control ◽  
Singular Control ◽  
Maximum Energy ◽  
Periodic Forcing ◽  
Control Effort ◽  
Control Laws ◽  
Single Degree Of Freedom ◽  
State Dependent ◽  
Alternate Control ◽  
Energy Dissipated

Abstract Optimal control of dampers has been proposed to mitigate vibration effects in mechanical systems. In many cases, systems are subject to periodic forcing and the goal is to maximize the energy dissipated by the damper. In contrast to prior work utilizing instantaneous or infinite-time-horizon optimization, this paper employs periodic optimal control to maximize the energy dissipated per cycle. For single degree of freedom systems in which the maximum allowable control effort is of the same order as the forcing magnitude, a state-dependent singular control law is shown to deliver maximum energy dissipation. Alternate control laws are proposed for situations when rattlespace requirements dictate damper displacements other than that of the singular solution.

Evaluation of the accuracy of analytic non-linear optimal control laws

1990 ◽  
Vol 31 (6) ◽  
pp. 583-592
Author(s):  
Frédéric Rotella ◽  
Geneviève Dauphin-Tanguy ◽  
Pierre Borne
Keyword(s):  
Optimal Control ◽  
Control Laws ◽  
Linear Optimal Control ◽  
Non Linear

Optimal Control Laws for Momentum-Wheel Desaturation Using Magnetorquers

2006 ◽  
Vol 29 (6) ◽  
pp. 1464-1468 ◽  
Author(s):  
Fabrizio Giulietti ◽  
Alessandro A. Quarta ◽  
Paolo Tortora
Keyword(s):  
Optimal Control ◽  
Control Laws
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