Displaying similar documents to “Determining the settings of PI and PID controllers with a convergent method using computer aided design”

H control design for an adaptive optics system

Nikolaos Denis, Douglas Looze, Jim Huang, David Castañon (1999)

Kybernetika

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In this paper we first present a full order H controller for a multi- input, multi-output (MIMO) adaptive optics system. We apply model reduction techniques to the full order H controller and demonstrate that the closed-loop (CL) system with the reduced order H controller achieves the same high level of performance. Upon closer examination of the structure of the reduced order H controller it is found that the dynamical behavior of the reduced order H controller can be accurately approximated...

Neural network based feedback linearization control of a servo-hydraulic vehicle suspension system

Jimoh Olarewaju Pedro, Olurotimi Akintunde Dahunsi (2011)

International Journal of Applied Mathematics and Computer Science

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This paper presents the design of a neural network based feedback linearization (NNFBL) controller for a two degree-offreedom (DOF), quarter-car, servo-hydraulic vehicle suspension system. The main objective of the direct adaptive NNFBL controller is to improve the system's ride comfort and handling quality. A feedforward, multi-layer perceptron (MLP) neural network (NN) model that is well suited for control by discrete input-output linearization (NNIOL) is developed using input-output...