Jih-Gau Juang

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In this paper, a learning scheme using a fuzzy controller to generate walking gaits is developed. The learning scheme uses a fuzzy controller combined with a linearized inverse biped model. The controller provides the control signals at each control time instant. The algorithm used to train the controller is "backpropagation through time". The linearized(More)
In this paper, an intelligent automatic landing system using fuzzy neural networks and genetic algorithms is developed to improve the performance of conventional automatic landing systems. This study uses a functional fuzzy neural network as the controller. Control gains are selected by a combination method of a nonlinear control design and genetic(More)
Nonlinear system identification using evolutionary computation and recursive estimation method is presented. Four different recursive estimation methods, recursive least-squares, recursive least-squares with exponential forgetting, stochastic algorithm, and projection algorithm, combined with evolution algorithm are used in this study. Conventional system(More)
The atmospheric disturbances affect not only flying qualities of an airplane but also flight safety. According to flight records, most aircraft accidents occurred during final approach or landing. If the flight conditions are beyond the preset envelope, the automatic landing system (ALS) is disabled and the pilot takes over. An inexperienced pilot may not(More)
Nonlinear system identification using recurrent neural network with genetic algorithm is presented. A continuous-time model of Hopfield neural network is used in this study. Its convergence properties are first evaluated. Then the model is implemented to identify nonlinear systems. Recurrent network's operational factors of the system identification scheme(More)