A biologically inspired controller

A Biologically Inspired Intelligent PID Controller Tuning for AVR Systems

This paper proposes a hybrid approach involving Genetic Algorithm (GA) and Bacterial Foraging (BF) for tuning the PID controller of an AVR. Recently the social foraging behavior of E. coli bacteria has been used to solve optimization problems. We first illustrate the proposed method using four test functions and the performance of the algorithm is studied with an emphasis on mutation, crossover...

Biologically Inspired Spinal locomotion Controller for Humanoid Robot

Jiang Shan, Fumio Nagashima Autonomous System Lab, Fujitsu Lab Abstract: A biologically inspired design strategy for humanoid robot locomotion control and its simulation implementation is presented in this paper. Firstly, the dynamics model of humanoid robot, biologically plausible spinal motor neural circuits, and virtual muscular module are constructed. Then, the control strategy for adaptive...

A Biologically Inspired Classifier

We present a method for measuring the distance among records based on the correlations of data stored in the corresponding database entries. The original method (F. Bagnoli, A. Berrones and F. Franci. Physica A 332 (2004) 509-518) was formulated in the context of opinion formation. The opinions expressed over a set of topic originate a “knowledge network” among individuals, where two individual...

Biologically-Inspired Locomotion Controller for a Quadruped Walking Robot: Analog IC Implementation of a CPG-Based Controller

The present paper proposes analog integrated circuit (IC) implementation of a biologically inspired controller in quadruped robot locomotion. Our controller is based on the central pattern generator (CPG), which is known as the biological neural network that generates fundamental rhythmic movements in locomotion of animals. Many CPG-based controllers for robot locomotion have been proposed, but...

Biologically Inspired Robots