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This paper presents a methodology based on numerical optimization techniques for simultaneously optimizing design parameters of a two-link planar rigid manipulator and a nonlinear gain PD controller designed for performing multiple tasks.
The method is amenable to automatic computation based on numerical optimization, and for instance, one can thus introduce performance objectives such as instantaneous control effort minimization into the design.
Based on numerical optimization techniques, we intend to generate optimal location of PZTs under the constraint for the total length of PZTs.
In general, the computation has to be based on numerical optimization.
The performances of the rotor system in both frequency and time domains were analysed based on numerical optimization technique, which bases on an efficient convex optimization software.
A tuning method for the Controller based on numerical optimization is presented to ensure the controlled system robustness toward gain variations and noise.
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Based on numerical optimizations, the parameter λ that reduces the probability of conflicting decisions among members of different coalitions for different number of terminals, subcarriers, and signal bandwidth is λ = 0.97.
Aim of this work is to develop a new design approach based on numerical shape optimization with the idea of significantly reducing the number of running-in experiments.
Based on numerical results, the optimization framework is found to be both stable and converging.
Studies on process optimization based on numerical simulation/calculation, mass and energy management, parametric adjustment have been reported.
The efficacy of this optimization (based on numerical results) in the delicate low velocity region is also enclosed.
More suggestions(15)
based on online optimization
based on numerical test
based on numerical regression
based on direct optimization
based on numerical ranking
based on numerical simulation
based on gradient optimization
based on local optimization
based on discrete optimization
based on spectral optimization
based on nonlinear optimization
based on stochastic optimization
based on numerical solution
based on global optimization
based on numerical modeling
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