This paper presents a hybrid control scheme for the aircraft automatic landing system. PID control law is adopted in the controller design. Disturbance adaptive capability is demonstrated through hardware in the loop simulations. The control scheme uses PID controller with evolutionary computation technique. Control gains are selected by real-valued genetic algorithms. Different crossover metho...

Operating conditions are often changing so strongly that the changes in nonlinearities must be taken into account. A practical solution comprises several intelligent systems: intelligent analysers make the adaptation easier by providing informative measurements for the controller, and high-level control supervises the adaptation procedure. Linguistic equation (LE) controllers combine various co...

Distillation is an essential separation process in the chemical and petrochemical industry. The distillation process is a highly nonlinear, complex, interactive and non -stationary, therefore its control is difficult. In the present work an adaptive neuro-fuzzy controller is designed to control a binary distillation process. A conventional PID controller is also designed for comparison purpose....

The intelligent control technology with the traditional control theory formats intelligent compound controller in order to learn from each other and improve the overall advantage of complementary features. Fuzzy PID control neuron PID control, fuzzy sliding mode control, and optimal control of the neural network. This paper discusses the current situation and development of smart composite cont...

This paper introduces a novel parallelised vision based intelligent controller for a Humanoid Robot system. This intelligent controller is simulated dynamically and its performance evaluated for a standard benchmark problem. The parallel nature of the simulation architecture which can separate the image processing and control algorithms allows the simulation to progress in real-time or faster t...