Inventi Impact - Control Science & Engineering
Issue : April - June 2012
Volume : 2012
Issue Number : 2
Articles : 6 Articles
Articles
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Inventi:ecse/15/12
EXPERIMENTAL APPLICATION OF PREDICTIVE CONTROLLERS
Model predictive control (MPC) has been used successfully in industry. The basic characteristic of these algorithms is the formulation of an optimization problem in order to compute the sequence of controlmoves that minimize a performance function on the time horizon with the best information availa....
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Inventi:ecse/16/12
3D NONPARAMETRIC NEURAL IDENTIFICATION
This paper presents the state identification study of 3D partial differential equations (PDEs) using the differential neural networks (DNNs) approximation. There are so many physical situations in applied mathematics and engineering that can be described by PDEs; these models possess the disadvantag....
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Inventi:ecse/17/12
AN OUTPUT-RECURRENT-NEURAL-NETWORK-BASED ITERATIVE LEARNING CONTROL FOR UNKNOWN NONLINEAR DYNAMIC PLANTS
We present a design method for iterative learning control system by using an output recurrent neural network (ORNN). Two ORNNs are employed to design the learning control structure. The first ORNN, which is called the output recurrent neural controller (ORNC), is used as an iterative learning cont....
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Inventi:ecse/18/12
ROBUST MODEL PREDICTIVE CONTROL USING LINEAR MATRIX INEQUALITIES FOR THE TREATMENT OF ASYMMETRIC OUTPUT CONSTRAINTS
One of the main advantages of predictive control approaches is the capability of dealing explicitly with constraints on the manipulated and output variables. However, if the predictive control formulation does not consider model uncertainties, then the constraint satisfaction may be compromised. A....
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Inventi:ecse/20/12
DYNAMIC TAKAGI-SUGENO MODEL FOR THE CONTROL OF ULTRASONIC MOTOR
Model of ultrasonic motor is the foundation of the design of ultrasonic motor’s speed and position controller. A two-input and one-output dynamic Takagi-Sugeno model of ultrasonic motor driving system is worked out using fuzzy reasoning modeling method in this paper. Many fuzzy reasoning mo....
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Inventi:ecse/22/12
LMI-BASED CRITERION FOR THE ROBUST STABILITY OF 2D DISCRETE STATE-DELAYED SYSTEMS USING GENERALIZED OVERFLOW NONLINEARITIES
This paper addresses the problem of global asymptotic stability of a class of discrete uncertain state-delayed systems described by the Fornasini-Marchesini second local state-space (FMSLSS) model using generalized overflow nonlinearities. The uncertainties are assumed to be norm bounded. A computat....
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