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Keywords: genetic algorithms
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Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Dyn. Sys., Meas., Control. January 2012, 134(1): 011013.
Published Online: December 5, 2011
... convergence and provides excellent quality of final result. Performance of the proposed APSO is compared with those of the real-coded genetic algorithm (GA) and PSO with linearly decreasing inertia weight (LDW-PSO), in terms of the parameter accuracy and convergence speed. Simulation results illustrated...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Dyn. Sys., Meas., Control. November 2011, 133(6): 061015.
Published Online: November 21, 2011
... be considered for controller designing. According to model uncertainties, the probabilities of satisfaction for every item of dynamic performance requirements were computed and synthesized as the cost function of genetic algorithms, which was used to optimize the parameters of decentralized PID controllers...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Dyn. Sys., Meas., Control. January 2011, 133(1): 011004.
Published Online: November 24, 2010
... and, subsequently, versus time. The proposed approach is validated and the effect of the number of superfluous cables on the value of minimum time is studied. The next notable challenges include time optimal path planning of cable-suspended robots. By developing a hybrid genetic algorithm and bang-bang control...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Dyn. Sys., Meas., Control. July 2010, 132(4): 041005.
Published Online: June 16, 2010
...; the MOEA nondominated sorting genetic algorithm II and a hybrid-game strategy are implemented to produce a set of optimal collision-free trajectories in a three-dimensional environment. The resulting trajectories on a three-dimensional terrain are collision-free and are represented by using Bézier spline...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Dyn. Sys., Meas., Control. May 2009, 131(3): 031005.
Published Online: March 19, 2009
... pattern, is given as a training signal. In this paper, the operation results of the system obtained via genetic algorithm (GA) were used as the training signal for the neural network. Operation planning (the amount of hydrogen production and the amount of exhaust heat storage) of the system on arbitrary...
Journal Articles
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Dyn. Sys., Meas., Control. March 2009, 131(2): 021009.
Published Online: February 5, 2009
... a set of seismic excitation. Comparison with widely used clipped-optimal strategy has also been shown. 11 01 2008 02 11 2008 05 02 2009 magnetorheology vibration control stay cable vibration structural control fuzzy logic genetic algorithms dynamic inversion...
Journal Articles
Publisher: ASME
Article Type: Technical Briefs
J. Dyn. Sys., Meas., Control. July 2007, 129(4): 522–526.
Published Online: January 29, 2007
... hopping motion. A heuristics-based search strategy and a genetic algorithm-based search strategy are implemented for finding the initial conditions that result in extended hopping motion. 19 01 2004 29 01 2007 legged locomotion search problems genetic algorithms robot dynamics...
Journal Articles
Publisher: ASME
Article Type: Technical Briefs
J. Dyn. Sys., Meas., Control. May 2007, 129(3): 357–366.
Published Online: September 5, 2006
...Ryan J. Link; David Zimmerman In this work, a general approach is formulated for updating the parameters of systems governed by multiphysics equations. The optimization technique is based on Genetic Algorithms (GAs). GAs represent a class of probabilistic optimization strategies loosely patterned...
Journal Articles
Journal Articles
Publisher: ASME
Article Type: Technical Briefs
J. Dyn. Sys., Meas., Control. September 2006, 128(3): 675–680.
Published Online: May 4, 2005
... to guarantee robust stability for the systems via linear control. Linear matrix inequality (LMI) and genetic algorithm (GA) are used to seek the state-feedback gain without complex mathematics. 06 12 2003 04 05 2005 Boyd , S. , Ghaoui , L. , Feron , E. , and Balakrishnan , V...
Topics: Delays, Design
Journal Articles
Publisher: ASME
Article Type: Article
J. Dyn. Sys., Meas., Control. December 2004, 126(4): 880–890.
Published Online: March 11, 2005
... of the complex processes. A new adaptive least-squares (ALS) algorithm, based on the least-squares method and genetic algorithm (GA), is proposed for autonomous learning and construction of FBFNs without any human intervention. Simulation studies are performed to demonstrate advantages of the proposed modeling...
Journal Articles
Journal Articles
Publisher: ASME
Article Type: Technical Papers
J. Dyn. Sys., Meas., Control. September 2004, 126(3): 605–613.
Published Online: December 3, 2004
... dynamic response aerodynamics aerospace simulation genetic algorithms aerospace control The continuing development of microelectromechanical systems (MEMS) is pointing to the possibility of mounting complete sensor systems on medium- and small-caliber projectiles as part of an actively...
Journal Articles
Journal Articles
Publisher: ASME
Article Type: Technical Briefs
J. Dyn. Sys., Meas., Control. December 2002, 124(4): 698–701.
Published Online: December 16, 2002
...Shane Farritor; Steven Dubowsky This paper describes a genetic algorithm planning method for autonomous robots in unstructured environments. It presents the approach and demonstrates its application to a laboratory planetary exploration problem. The method represents activities of the robot...
Journal Articles
Publisher: ASME
Article Type: Technical Papers
J. Dyn. Sys., Meas., Control. March 2001, 123(1): 62–70.
Published Online: August 4, 1999
... partial differential equations, the separation being allowed by a two time scale analysis of the system. The model has been identified, through a purposely designed genetic algorithm, and validated on experimental data. Contributed by the Dynamic Systems and Control Division for publication...