Pareto Design of State Feedback Tracking Control of a Biped Robot via Multiobjective PSO in Comparison with Sigma Method and Genetic Algorithms: Modified NSGAII and MATLAB’s Toolbox

<table>The obtained Pareto fronts by using Sigma method [<a href="/journals/tswj/2014/303101/#B42">43</a>], modified NSGAII [<a href="/journals/tswj/2014/303101/#B61">52</a>], MATLAB’s Toolbox MOGA, and the proposed algorithm regarding the optimal control design of the biped robot.</table>

The Scientific World Journal

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Figure 2: Pareto Design of State Feedback Tracking Control of a Biped Robot via Multiobjective PSO in Comparison with Sigma Method and Genetic Algorithms: Modified NSGAII and MATLAB’s Toolbox 

Figure 2 | Pareto Design of State Feedback Tracking Control of a Biped Robot via Multiobjective PSO in Comparison with Sigma Method and Genetic Algorithms: Modified NSGAII and MATLAB’s Toolbox 