Model Based Predictive Control is a class of computer algorithms that explicitly use a process model to predict future plant outputs and compute an appropriate control action through on-line optimization of a cost obj...
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In this paper a complete equivalent electric circuit for a planar shear piezoelectric accelerometer is presented. Starting from the KLM (Krimholtz-Leedom-Matthaei) approach for a single piezoceramic plate sandwiched b...
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This paper presents some applications of a Model Based Predictive Control (MBPC) type algorithm which is applied to nonlinear processes. The basic idea of the algorithm is the on-line simulation of the future behaviou...
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In operating systems (OSs), there are two types of scheduling methods in which CPU resources are allocated: non-preemptive and preemptive scheduling. Embedded system developers generally create applications using a no...
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This paper is intended as a study of the composition of existing vibrations in the rear of a car, while it is running in order to increase traffic safety. The main factors that cause the occurrence of these vibrations...
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作者:
Tătar, OlimpiuMândru, DanDepartment of Mechanisms
Precision Mechanics and Mechatronics Faculty of Mechanics Technical University of Cluj-Napoca B-dul Muncii nr. 103-105 Cluj-Napoca400641 Romania
In this paper, we proposed two wheeled-type in-pipe modular robotic systems. These modular systems are composed of driving modules (which use mechanisms with articulated elements) and passive modules. The first module...
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This paper addresses the problem of partitioning a set of vectors into two subsets such that the sums per every coordinate should be exactly or approximately equal. This problem, introduced by Kojic [8], is called the...
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This paper is aimed at presenting a study on the optimization of the Biglide and Bipod mini parallel robots, which comprises two-degree-of-freedom (DOF) mini parallel robots with constant and variable struts. The robo...
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