Genetic algorithm for input∕output selection in MIMO systems based on controllability and observability indices

2002 ◽  
Vol 38 (19) ◽  
pp. 1150 ◽  
Author(s):  
Min Zhang ◽  
Lam Yeung ◽  
Yingtao Jiang
Keyword(s):  
Genetic Algorithm ◽  
Mimo Systems ◽  
Input Output ◽  
Controllability And Observability

Time-Domain Input-Output Transient Performance Validation for Modular Control Systems: Method and Examples

2010 ◽  
Author(s):  
Deepak Sharma ◽  
D. M. Tilbury ◽  
Lucia Seno
Keyword(s):  
Control Systems ◽  
Time Domain ◽  
Convex Sets ◽  
Mimo Systems ◽  
Transient Performance ◽  
Input Output ◽  
Modular Control ◽  
Input And Output ◽  
The Time Domain ◽  
Performance Validation

This paper presents results that can be used to validate input-output transient performance for modular control systems. If bounds in the time-domain are specified for inputs of an LTI SISO system, the techniques in this paper can determine the minimum set containing all possible outputs. If both input and output bounds are given, they can determine whether these specifications are met. Network delay affecting the input of the system is also considered. Finally, this paper extends the techniques for MIMO systems. The results are derived using the theory of convex sets. Several examples are presented to illustrate the results and demonstrate their application.

scholarly journals Analisis Karakteristik Input-Output dan Optimasi Biaya Pembangkitan Menggunakan Metode Quadratic Least Square Regression dan Metode Dynamic Genetic Algorithm

2017 ◽  
Vol 5 (2) ◽  
pp. 124
Author(s):  
Rina Anggraeni ◽  
Dedy Kurnia Setiawan ◽  
Triwahju Hardianto
Keyword(s):  
Genetic Algorithm ◽  
Economic Dispatch ◽  
Least Square ◽  
Input Output ◽  
Least Square Regression

Optimalisasi produksi listrik, khususnya pada pembangkit termal membutuhkan analisis karakteristik input-output dan pembebanan yang tepat agar beroperasi dengan baik. Karakteristik input-output akan mengawasi pergeseran yang terlihat dari kurva dan mendeteksi perlu adanya maintenance atau tidak pada sebuah pembangkit. Karakteristik input-output dapat dihitung dengan metode quadratic least square regression. Sedangkan pembebanan yang tepat, membuat produksi listrik sesuai maksimal beban yang diinginkan dengan biaya paling murah. Perhitungan pembebanan dilakukan dengan metode dynamic genetic algorithm. Metode ini diaplikasikan pada data PT. PJB UP Gresik bulan Juli 2015 didapatkan total biaya bahan bakar yang dihemat sebesar 3.162,9147 KNM3 dan biaya bahan bakar sebesar $22.773 dibandingkan PJB. Kata Kunci: dynamic genetic algorithm, economic dispatch, karakteristik input-output, quadratic least square regression.

scholarly journals A Genetic Algorithm Approach for Prediction of Linear Dynamical Systems

2013 ◽  
Vol 2013 ◽  
pp. 1-12 ◽  
Author(s):  
Za'er Abo-Hammour ◽  
Othman Alsmadi ◽  
Shaher Momani ◽  
Omar Abu Arqub
Keyword(s):  
Genetic Algorithm ◽  
Dynamical Systems ◽  
Moving Average ◽  
Autoregressive Moving Average ◽  
Model Parameters ◽  
Input Output ◽  
Data Sequence ◽  
Output Data ◽  
Linear Dynamical Systems ◽  
Genetic Algorithm Approach

Modelling of linear dynamical systems is very important issue in science and engineering. The modelling process might be achieved by either the application of the governing laws describing the process or by using the input-output data sequence of the process. Most of the modelling algorithms reported in the literature focus on either determining the order or estimating the model parameters. In this paper, the authors present a new method for modelling. Given the input-output data sequence of the model in the absence of any information about the order, the correct order of the model as well as the correct parameters is determined simultaneously using genetic algorithm. The algorithm used in this paper has several advantages; first, it does not use complex mathematical procedures in detecting the order and the parameters; second, it can be used for low as well as high order systems; third, it can be applied to any linear dynamical system including the autoregressive, moving-average, and autoregressive moving-average models; fourth, it determines the order and the parameters in a simultaneous manner with a very high accuracy. Results presented in this paper show the potentiality, the generality, and the superiority of our method as compared with other well-known methods.

scholarly journals Robust Optimal Sliding-Mode Tracking Control for a Class of Uncertain Nonlinear MIMO Systems

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Haiping Pang ◽  
Xiuqin Yang
Keyword(s):  
Mimo Systems ◽  
Sliding Mode ◽  
Mimo System ◽  
Tracking Error ◽  
Reference Trajectory ◽  
Tracking Problem ◽  
Input Output ◽  
Nominal System ◽  
Tracking Controller ◽  
Mode Tracking

This paper addresses the problem of tracking a reference trajectory asymptotically given by a linear time-varying exosystem for a class of uncertain nonlinear MIMO systems based on the robust optimal sliding-mode control. The nonlinear MIMO system is transformed into a linear one by the input-output linearization technique, and at the same time the input-output decoupling is realized. Thus, the tracking error equation is established in a linear form, and the original nonlinear tracking problem is transformed into an optimal linear quadratic regulator (LQR) tracking problem. A LQR tracking controller (LQRTC) is designed for the corresponding nominal system, and the integral sliding-mode strategy is used to robustify the LQRTC. As a result, the original system exhibits global robustness to the uncertainties, and the tracking dynamics is the same as that of LQRTC for the nominal system. So a robust optimal sliding-mode tracking controller (ROSMTC) is realized. The proposed controller is applied to a two-link robot system, and simulation results show its effectiveness and superiority.

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