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https://link.springer.com/10.1007/11753728_66
Abstract. This paper firstly provides an short introduction to least square support vector machine (LSSVM), a new class of kernel-based techniques introduced in statistical learning theory and structural risk minimization, then designs a training algorithm for LSSVM, and uses LSSVM to model and control nonlinear systems.Cited by: 2
https://ieeexplore.ieee.org/document/5169065
May 22, 2009 · To resolve these outstanding problems, a new method to design and establish the physical model of the circuit of testing and launching control system by use of the object-oriented technology is presented, which is by designing the properties, methods and events of the components, circuit and the single machine, and the testing simulation ...
https://www.tutorialspoint.com/control_systems/control_systems_mathematical_models.htm
The control systems can be represented with a set of mathematical equations known as mathematical model. These models are useful for analysis and design of control systems. Analysis of control system means finding the output when we know the input and mathematical model. Design of control system ...
https://www.cds.caltech.edu/~murray/courses/cds101/fa04/caltech/am04_ch2-3oct04.pdf
concept of modeling, and provide some basic material on two speciflc meth-ods that are commonly used in feedback and control systems: difierential equations and difierence equations. 2.1 Modeling Concepts A model is a mathematical representation of a physical, biological or in-formation system. Models allow us to reason about a system and make
https://www.sciencedirect.com/science/article/abs/pii/S0925231219317096
Dec 12, 2019 · Then, a multi-scale local least squares support vector machine is proposed to establish the temporal model. This method uses multi-scale kernel learning to deal with different trends of the process and establish a local model to track the state change of the system.Author: Jiayang Dai, Ning Chen, Biao Luo, Weihua Gui, Chunhua Yang
http://durofy.com/mathematical-modeling-of-control-systems-transfer-function-modeling
Apr 09, 2013 · Mathematical modeling of any control system is the first and foremost task that a control engineer has to accomplish for design and analysis of any control engineering problem.It is nothing but the process or technique to express the system by a set of mathematical equations (algebraic or differential in nature).
https://www.sciencedirect.com/science/article/pii/S0140700707000072
In this paper, a new kind of MBFDD scheme is proposed based on a combination of the model-based FDD method and the Support Vector Machine (SVM) method. The physical model is derived based on the mass and energy balance of the HVAC system, so high modeling accuracy is assured.Cited by: 195
https://www.pearsonhighered.com/assets/samplechapter/0/1/3/6/0136156738.pdf
16 Chapter 2 / Mathematical Modeling of Control Systems 1. The transfer function of a system is a mathematical model in that it is an opera-tional method of expressing the differential equation that relates the output vari-able to the input variable. 2. The transfer function is a property of a system itself,independent of the magnitude
https://ieeexplore.ieee.org/document/6156654/
Modeling and control of a multi-machine power system with FACTS controller Abstract: Power system is usually modeled using a combination of differential and algebraic equations. Advanced control design generally requires that a system be represented by purely differential equations.
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