— The growing importance of the knowledge-intensive
service-based knowledge organizations and resultant dynamic capabilities, and facilitate service innovation Interval model can be used to describe nonlinear dynamic systems. Control of an inverted pendulum on a carriage which moves in a horizontal path, is one of the classic problems in the area of control. The basic aim of our work was to design appropriate controller to control the angle of the pendulum and the position of the cart in order to stabilize the inverted pendulum system. The main objective of this paper to keep the stabilization of the inverted pendulum based on the simplification of rule base. The proposed fuzzy control scheme successfully fulfills the control objectives and also has an excellent stabilizing ability to overcome the external impact acting on the pendulum system. This paper presents an application of how to design and validate a real time neuro fuzzy controller of complex a nonlinear dynamic system using the Matlab-Simulink Real-Time Workshop environment. Once the controller is obtained and validated by simulation, it’s
implemented to control the pendulum-cart system. The design and optimization process of neuro fuzzy controller are based on an extended learning technique derived from adaptive neuro fuzzy inference system (ANFIS). The design and implementation of this pendulum-cart control system has been realized under MATLAB/SIMULINK environment. The experimental results demonstrate the efficiency of the simplified design procedure and ensured stability of this system