You are here: Home / CC 6 – Process and Power Systems / TC Chemical Process Control / Individual Members Information / Galip Cansever. View the profiles of people named Galip Cansever. Join Facebook to connect with Galip Cansever and others you may know. Facebook gives people the power. Ibrahim Sener, Galip Cansever. , IEEE 20th Jubilee International Conference on Intelligent Engineering Systems (INES) – Proceeding. Add to Library.
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OBJECTIVE The purpose of this study was gzlip compare four different microleakage tests dye leakage, electrochemical test, bacterial test and fluid filtration for evaluation of the coronal seal of … More. Tuesday, October 9, Customer Testimony – Prof.
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This paper presents analysis and implementation of Exact Model Knowledge EMK and Direct Adaptive control schemes on the 4th order ball and beam system in yalip the dynamics of the ball position and … More. This paper canseveer an approach of cooperative control that is based on the concept of combining neural networks and the methodology of fuzzy sliding mode control SMC.
dblp: Galip Cansever
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Due to computational burden and dynamic uncertainty, the classical model-based control approaches are hard to be implemented in the multivariable robotic systems. Galip Cansever, Yildiz Technical University. I recently came across your blog and have been reading along. To sum up Quanser products are very helpful to analyze the basic control problems. The solution cansrver obtained via constructing a … Gailp. This paper presents a novel stabilization result for the Furuta pendulum for a large region of attraction including almost all of the upper half plane.
Formalization of a novel robust adaptive Sugeno based fuzzy sliding mode controller equipped with a supervisory controller is considered for the control of a class of nonlinear systems which … More.
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This paper addresses the design method for robust PID like controllers which guarantee the quadratic stability, performance in terms of H2 and Hinfin specifications, pole locations and maximum output … More. They filled all the gap of cnsever control system laboratory like we thought.
The purpose of this paper is to propose adaptive fuzzy sliding mode control SMC based on radial basis function neural network RBFNN for trajectory tracking problem of cannsever link robot … More. Posted by Quanser at