?? matlab code for intelligent control.htm
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<CENTER><FONT color=#a53b0e>Matlab Code for</FONT>
<P><FONT color=#ff0000>Biomimicry for </FONT><FONT color=#ff0000>Optimization,
Control, and </FONT><FONT color=#ff0000>Automation</FONT></P></CENTER></H3>
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<P>The following is <FONT color=red>Matlab</FONT> code that solves examples
given in the following book which is currently being written: <FONT
color=blue>Biomimicry for Optimization, Control, and Automation,</FONT><FONT
color=#ff0000> </FONT><FONT color=black>by</FONT>: K. Passino, the web site of
which you can go to by clicking <A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/ic_index.html">here</A>.
</P></DIV>
<P><B><FONT color=#b22222>Elements of Decision-Making:</FONT></B></P>
<UL>
<LI>Multilayer perceptron for tanker ship heading regulation, click <A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/mlp_tanker.m">here</A>.
<LI>Radial basis function neural network for tanker ship heading regulation,
click <A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/rbf_tanker.m">here</A>.
</LI></UL>
<UL>
<LI>Fuzzy controller for tanker ship heading regulation, click <A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/fc_tanker.m">here</A>.
</LI></UL>
<UL>
<LI>Path planning for autonomous vehicle guidance, click <A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/vehic_guide.m">here</A>,
<A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/obstaclefunction.m">here</A>,
and <A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/goalfunction.m">here</A>.
<LI>Nonlinear model predictive control (planning) for level control in a surge
tank, click <A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/plan_surgetank.m">here</A>.
</LI></UL>
<UL>
<LI>Attentional strategies for dynamically focusing on multiple
predators/prey, click <A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/attentionstrats.m">here</A>.
</LI></UL>
<P><B><FONT color=#b22222>Learning:</FONT></B></P>
<UL>
<LI>Neural/fuzzy approximator construction basics, via an example unknown
function, click <A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/unknownfunc.m">here</A>.
<LI>Neural control (reinforcement learning) for tanker heading, click <A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/nc_tanker.m">here</A>.
<LI>Neural control for tanker, only 9 receptive field units, click <A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/nc_tanker_9rcus.m">here</A>.
<LI>Fuzzy model reference learning control for a tanker ship, click <A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/fmrlc_tanker.m">here</A>.
</LI></UL>
<UL>
<LI>Batch least squares for training a multilayer perceptron, click <A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/bls_lip_mlp.m">here</A>.
<LI>Batch least squares for training a Takagi-Sugeno fuzzy system, click <A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/bls_lip_ts.m">here</A>.
<LI>Controller design using operator data, click <A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/operator_est.m">here</A>
and <A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/operator.dat">here</A>
for the data set.
<LI>Recursive least squares for training a multilayer perceptron, click <A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/rls_lip_mlp.m">here</A>.
<LI>Recursive least squares for training a Takagi-Sugeno fuzzy system, click
<A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/rls_lip_ts.m">here</A>.
<LI>Gas furnace data for estimation problem, click <A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/boxjenkins.dat">here</A>.
</LI></UL>
<UL>
<LI>Steepest descent gradient method for on-line training a multilayer
perceptron, click <A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/sd_mlp.m">here</A>.
<LI>Levenberg-Marquardt method for training a Takagi-Sugeno fuzzy system,
click <A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/lm_ts.m">here</A>.
<LI>Training a multilayer perceptron with the Matlab Neural Networks Toolbox,
click <A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/nntoolbxexamp.m">here</A>.
<LI>Fuzzy c-means clustering and least squares for training an approximator,
click <A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/clusterfunc.m">here</A>.
</LI></UL>
<UL>
<LI>Indirect neural control for a process control problem, click <A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/neural_indirect_grad.m">here</A>.
<LI>Direct neural control for a process control problem, click <A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/neural_direct.m">here</A>.
<LI>Stable indirect adaptive neural/fuzzy control for aircraft wing-rock
regulation, click <A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/stable_indirect_wrc.m">here</A>
and <A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/sindwingrockc.m">here</A>.
<LI>Stable direct adaptive neural/fuzzy control for aircraft wing-rock
regulation, click <A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/stable_direct_wrc.m">here</A>
and <A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/sdirwingrockc.m">here</A>.
</LI></UL>
<P><B><FONT color=#b22222>Evolution:</FONT></B></P>
<UL>
<LI>Genetic algorithm (base-10), click <A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/ga.m">here</A>.
<LI>Genetic algorithm approximations, click <A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/ga_approx.m">here</A>.
<LI>Topographical data for Colombia, optimization problem, click <A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/Colombiatopography.m">here</A>
and <A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/colom.mat">here</A>.
</LI></UL>
<UL>
<LI>Response surface methodology for PD controller design for tanker ship,
click <A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/rsm_pd_tanker.m">here</A>
and <A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/pd_tanker_tester.m">here</A>.
<LI>Coordinate search, click <A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/coord_search.m">here</A>
and <A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/optexampfunction.m">here</A>
for the function to be optimized.
<LI>Nelder-Mead simplex method for direct search, click <A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/direct_search.m">here</A>
and <A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/optexampfunction.m">here</A>
for the function to be optimized.
<LI>Multidirectional search for optimization, click <A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/mds.m">here</A>,
and <A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/optexampfunction.m">here</A>
for the function to be optimized.
<LI>Simultaneous perturbation stochastic approximation (SPSA), click <A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/spsa.m">here</A>,
and <A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/optexampfunction.m">here</A>
for the function to be optimized.
<LI>SPSA for PD controller design for a tanker ship, click <A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/spsa_pd_tanker.m">here</A>
and <A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/pdtanker.m">here</A>.
<LI>SPSA for design of an attentional strategy, click <A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/spsa_attention.m">here</A>
and <A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/attentionenv.m">here</A>.
<LI>Evolutionary design for a PD controller for a tanker ship, click <A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/evolve_pd_tanker.m">here</A>.
</LI></UL>
<UL></UL>
<UL></UL>
<UL>
<LI>Response surface methodology for approximator size choice, click <A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/rsm_learn.m">here</A>.
<LI>Evolution and learning-instinct balance (study via estimator design),
click <A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/rsm_instinctlearn.m">here</A>
and <A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/estimatortester.m">here</A>.
<LI>Set-based stochastic optimization for evolving instinct-learning balance,
click <A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/evolve_instinct_learn.m">here</A>.
</LI></UL>
<UL>
<LI>Indirect genetic adaptive control for a process control problem, click <A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/genetic_adaptive_ind.m">here</A>.
</LI></UL>
<P><B><FONT color=#b22222>Foraging:</FONT></B></P>
<UL>
<LI>Social bacterial foraging for distributed optimization (E. coli based),
click <A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/ecoli_swarm_opt.m">here</A>,
<A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/nutrientsfunc.m">here</A>,
<A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/nutrientsfunc1.m">here</A>,
<A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/bact_cellcell_attract.m">here</A>,
and <A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/bact_cellcell_attract_func.m">here</A>.
<LI>M. Xanthus social bacterial foraging for distributed optimization, click
<A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/mxanthus_swarm_opt.m">here</A>,
<A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/mxanthus_nutrients.m">here</A>,
<A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/mxanthus_cellcell_attract.m">here</A>,
and <A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/mxanthus_attract_func.m">here</A>.
<LI>Social foraging of honey bees for nongradient optimization, click <A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/beeforage.m">here</A>
and <A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/beeforagefunc.m">here</A>.
<LI>Foraging strategy (E. coli) for indirect adaptive control for a process
control problem, click <A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/foraging_adaptive_ind.m">here</A>.
<LI>Simulation of distributed sychronization of fire fly flashes, click <A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/distributed_synch.m">here</A>
and <A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/distributed_sych_func.m">here</A>.
</LI></UL>
<UL>
<LI>Security strategy solutions of bimatrix games, click <A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/securitystratexample.m">here</A>.
<LI>Nash equilibria of bimatrix games, click <A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/nashequilibria.m">here</A>.
<LI>Reaction curves and Nash equilibria, click <A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/reactcurvesnash.m">here</A>.
<LI>Minimax strategy solutions for bimatrix games, click <A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/minimaxstrategy.m">here</A>.
<LI>Stackelberg strategy solutions for bimatrix games, click <A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/stackelbergstrategy.m">here</A>.
<LI>Pareto optimal solutions, click <A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/partetooptimalsolution.m">here</A>
and <A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/allpartetooptimalsolutions.m">here</A>.
<LI>Static foraging game example, click <A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/foragegamestatic.m">here</A>.
</LI></UL>
<P><B>
<HR align=left>
</B>
<P></P>
<P><B><FONT color=#2e8b57>Some C code (written by my graduate
students):</FONT></B></P>
<UL>
<LI>To download a fuzzy controller for an inverted pendulum coded in C, click
<A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/fc.txt">here</A>.
<LI>To download a simulator for nonlinear systems based on the Runge-Kutta
method (4th order) that is written in C and currently set up to simulate an
inverted pendulum, click <A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/rk.txt">here</A>
(hence this code can be used together with the code for the fuzzy controller
above to simulate a simple fuzzy control system).
<LI>To download C code for a base-10 genetic algorithm that is currently
configured to optimize a simple function, click <A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/gac.txt">here</A>.
<LI>For the programs written in C it is easy to output the data to a file and
plot it in MATLAB. For a brief explanation of how to output data from programs
and plot it in MATLAB, click <A
href="http://eewww.eng.ohio-state.edu/~passino/ICbook/Code/MATLAB-C.txt">here</A>.
</LI></UL>
<HR align=left>
<P>Last updated: 9/25/02
<P></P>
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href="http://eewww.eng.ohio-state.edu/~passino/index.html">home</A>.</P></BODY></HTML>
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