Neural Networks for Optimization and Signal Processing
Neural Networks for Optimization and Signal Processing
Intelligent vehicle braking and steering control systems
Intelligent vehicle braking and steering control systems
Design with Operational Amplifiers and Analog Integrated Circuits
Design with Operational Amplifiers and Analog Integrated Circuits
Designing a genetic neural fuzzy antilock-brake-system controller
IEEE Transactions on Evolutionary Computation
Analog neural nonderivative optimizers
IEEE Transactions on Neural Networks
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Analog neural systems that can automatically find the minimum value of the outputs of unknown analog systems, described by convex functions, are studied. When information about derivative or gradient are not used, these systems are called analog nonderivative optimizers. An electronic circuit for the analog neural nonderivative optimizer proposed by Teixeira and Żak, and its simulation with software PSPICE, is presented. With the simulation results and hardware implementation of the system, the validity of the proposed optimizer can be verified. These results are original, from the best of the authors knowledge.