Solucion Passino

Páginas: 31 (7570 palabras) Publicado: 4 de octubre de 2011
Matlab Code for
Kevin M. Passino
Biomimicry for Optimization, Control, and Automation,
Springer-Verlag, London, UK, 2005

The following is Matlab code that solves examples given in the book: Biomimicry for Optimization, Control, and Automation, by: K. Passino, the web site of which you can go to by clicking here.Elements of Decision-Making:
* Multilayer perceptron for tanker ship heading regulation, click here.
* Radial basis function neural network for tanker ship heading regulation, click here.
* Fuzzy controller for tanker ship heading regulation, click here.
* Path planning for autonomous vehicleguidance, click here, here, and here.
* Nonlinear model predictive control (planning) for level control in a surge tank, click here.
* Attentional strategies for dynamically focusing on multiple predators/prey, click here.
Learning:
* Neural/fuzzy approximator construction basics, via an example unknown function, click here.* Neural control (reinforcement learning) for tanker heading, click here.
* Neural control for tanker, only 9 receptive field units, click here.
* Fuzzy model reference learning control for a tanker ship, click here.
* Batch least squares for training a multilayer perceptron, click here.
* Batch leastsquares for training a Takagi-Sugeno fuzzy system, click here.
* Controller design using operator data, click here and here for the data set.
* Recursive least squares for training a multilayer perceptron, click here.
* Recursive least squares for training a Takagi-Sugeno fuzzy system, click here.
* Gas furnace data forestimation problem, click here.
* Steepest descent gradient method for on-line training a multilayer perceptron, click here.
* Levenberg-Marquardt method for training a Takagi-Sugeno fuzzy system, click here.
* Training a multilayer perceptron with the Matlab Neural Networks Toolbox, click here.
* Fuzzy c-meansclustering and least squares for training an approximator, click here.
* Indirect neural control for a process control problem, click here.
* Direct neural control for a process control problem, click here.
* Stable indirect adaptive neural/fuzzy control for aircraft wing-rock regulation, click here and here.
* Stable directadaptive neural/fuzzy control for aircraft wing-rock regulation, click here and here.
Evolution:
* Genetic algorithm (base-10), click here.
* Genetic algorithm approximations, click here.
* Topographical data for Colombia, optimization problem, click here and here.
* Response surface methodology forPD controller design for tanker ship, click here and here.
* Coordinate search, click here and here for the function to be optimized.
* Nelder-Mead simplex method for direct search, click here and here for the function to be optimized.
* Multidirectional search for optimization, click here, and here for the function to be optimized.
*Simultaneous perturbation stochastic approximation (SPSA), click here, and here for the function to be optimized.
* SPSA for PD controller design for a tanker ship, click here and here.
* SPSA for design of an attentional strategy, click here and here.
* Evolutionary design for a PD controller for a tanker ship,...
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