[PDF] Top 20 Analysis of Control of Inverted Pendulum using Adaptive Neuro Fuzzy system

... Introduction: Inverted Pendulum is a good model for, an automatic aircraft landing system, the attitude control of a space booster rocket and a satellite stabilization of a cabin in a ship, ... See full document

... the inverted pendulum is unstable, because the pendulum will fall downward due to the gravitational force acting on mass of the ...the pendulum at vertically inverted position, the ... See full document

... that fuzzy systems are universal approximators has been shown and proven by several sources [1, ...a fuzzy system which constitutes of an implication between actions and ...a fuzzy ... See full document

... control system. Petri net describe not only the variation of control process, but also the transference of ...single-inverted-pendulum fuzzy control ... See full document

... The inverted pendulum system is a typical nonlinear, strong coupling, multivariable, naturally unstable system ...the control process, the inverted pendulum can ... See full document

... Inverted pendulum system with the personified intelligent control which is not based on the accurate mathematical model is ...develop control laws directly by means of qualitative ... See full document

... of control technique method in non-linear Inverted Pendulum system in previous papers or ...thesis. Inverted pendulum is one of the most common plant that often used to analyse ... See full document

... the analysis, design, and operation of modern ...inherent system noise and coping with models or systems that are highly nonlinear, high dimensional, or otherwise inappropriate for classical deterministic ... See full document

... the system respond faster but cause larger ...low system response. In order to obtain a fast system respond with a little overshoot, the step-size of the grey predictor can be changed ...grey ... See full document

... propagation Adaptive Neuro-Fuzzy Inference Systems (ANFIS) algorithm are considered and included to replace the conventional method of Proportional Integral and ...and fuzzy logic principles, ... See full document

... the fuzzy control methods not only can alleviate the chattering effects in SMC but can decrease the complexity of fuzzy controller with reduced number of fuzzy rules ...the adaptive ... See full document

... single inverted pendulum (SESIP) is one of typical nonlinear ...The control scheme running the SESIP consists of two main control ...these control loops are swing-up controller and ... See full document

... Each fuzzy system contains three main parts of fuzzifier, fuzzy database and ...defuzzifier. Fuzzy database includes two main parts of fuzzy rule base, and inference ...an ... See full document

... proposed by Aubouet, et al.[8]. Nonlinear control method for active suspension systems was designed by Lin and Kanellakopoulos[9]. The robust controlling technique for active suspension systems was proposed by ... See full document

... An Inverted Pendulum is a classic control system ...unstable system, which attains stability under a few ...the Control of Inverted Pendulum and aims to model a ... See full document

... Since the 1950s, the inverted pendulum, especially the cart version, was used for teaching linear feedback control theory [8] and it also one of an example studied that had been used as [r] ... See full document

... Neural fuzzy models are performing successfully where other methods do ...combined neuro fuzzy classifier is comparatively higher than the individual fuzzy and neural ...of neuro ... See full document

... stability analysis for accurate prediction of how vulnerable a current power system network is, which includes the identification of buses in a power system network which are most susceptible to ... See full document

... current control loop. A proportional-integral (PI) speed control loop senses the actual speed of the motor and compares it with the reference speed to determine the reference armature current required by ... See full document

... of fuzzy techniques in image noise reduction processing is a promising research field ...[5]. Fuzzy techniques have already been applied in several domains of image processing, ...These fuzzy ... See full document