Robust self-tuning control based on discrete-time sliding mode for auto-regressive mathematical model in the presence of unmodelled dynamics

2016 ◽  
Vol 13 (3) ◽  
pp. 277-284
Author(s):  
Nabiha Touijer ◽  
Samira Kamoun
Keyword(s):  
Mathematical Model ◽  
Discrete Time ◽  
Sliding Mode ◽  
Self Tuning ◽  
Auto Regressive

Self-tuning Control based on Discrete-time Sliding Mode with Applications

2011 ◽  
Vol 44 (1) ◽  
pp. 774-779 ◽  
Author(s):  
Katsuhisa Furuta ◽  
Akira Ohata ◽  
Akihiko Sugiki
Keyword(s):  
Discrete Time ◽  
Sliding Mode ◽  
Self Tuning

scholarly journals Electrical Drives Control via Discrete-Time Variable Structure Systems with Sliding Mode

2020 ◽  
Vol 5 (1) ◽  
Author(s):  
Čedomir Milosavljević ◽  
Branislava Peruničić-Draženović ◽  
Senad Huseinbegović ◽  
Boban Veselić ◽  
Milutin P. Petronijević
Keyword(s):  
Mathematical Model ◽  
Discrete Time ◽  
Position Control ◽  
Controller Design ◽  
Sliding Mode ◽  
Variable Structure ◽  
Electrical Machine ◽  
Two Phase ◽  
Variable Structure Systems ◽  
Electrical Drives

Modern control techniques of electrical drives (EDs) use robust control algorithms. One of such algorithms is variable structure control (VSC) with sliding mode (SM). SM control needs more information on the controlled plant than the conventional PI(D) control. Valid mathematical model of the controlled plant is necessary for the SM controller design. Generalized mathematical model of two-phase electrical machine and its adaptation to direct current (DC) and induction motor (IM) are given in this paper, employed in the cascade control structure. Also, the basic SM control theory and discrete-time controller design approach, developed by the authors, are given. Finally, experimentally realized examples of speed and position control of DC and IM are given as an illustration of the efficiency of the promoted EDs controller design via discrete-time VSC.

scholarly journals Discrete-Time Nonlinear Control of VSC-HVDC System

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
TianTian Qian ◽  
ShiHong Miao
Keyword(s):  
Mathematical Model ◽  
Control System ◽  
Discrete Time ◽  
Time Domain ◽  
Output Feedback ◽  
Control Algorithm ◽  
Sliding Mode ◽  
Mimo System ◽  
Discrete Control ◽  
Hvdc System

Because VSC-HVDC is a kind of strong nonlinear, coupling, and multi-input multioutput (MIMO) system, its control problem is always attracting much attention from scholars. And a lot of papers have done research on its control strategy in the continuous-time domain. But the control system is implemented through the computer discrete sampling in practical engineering. It is necessary to study the mathematical model and control algorithm in the discrete-time domain. The discrete mathematical model based on output feedback linearization and discrete sliding mode control algorithm is proposed in this paper. And to ensure the effectiveness of the control system in the quasi sliding mode state, the fast output sampling method is used in the output feedback. The results from simulation experiment in MATLAB/SIMULINK prove that the proposed discrete control algorithm can make the VSC-HVDC system have good static, dynamic, and robust characteristics in discrete-time domain.

A New Discrete-time Sliding Mode Control Method Based on Restricted Variable Trending Law

2014 ◽  
Vol 39 (9) ◽  
pp. 1552-1557 ◽  
Author(s):  
Xi LIU ◽  
Xiu-Xia SUN ◽  
Wen-Han DONG ◽  
Peng-Song YANG
Keyword(s):  
Sliding Mode Control ◽  
Discrete Time ◽  
Control Method ◽  
Sliding Mode ◽  
Mode Control

Design of funnel function-based discrete-time sliding mode control

2020 ◽  
Vol 14 (16) ◽  
pp. 2413-2418
Author(s):  
Haifeng Ma ◽  
Yangmin Li ◽  
Zhenhua Xiong
Keyword(s):  
Sliding Mode Control ◽  
Discrete Time ◽  
Sliding Mode ◽  
Mode Control

scholarly journals Time to Intervene: A Continuous-Time Approach to Network Analysis and Centrality

Psychometrika ◽  
2021 ◽  
Author(s):  
Oisín Ryan ◽  
Ellen L. Hamaker
Keyword(s):  
Network Analysis ◽  
Discrete Time ◽  
Continuous Time ◽  
Centrality Measures ◽  
Time Interval ◽  
Direct Effects ◽  
Network Approach ◽  
Var Models ◽  
Auto Regressive ◽  
Conceptual Shift

AbstractNetwork analysis of ESM data has become popular in clinical psychology. In this approach, discrete-time (DT) vector auto-regressive (VAR) models define the network structure with centrality measures used to identify intervention targets. However, VAR models suffer from time-interval dependency. Continuous-time (CT) models have been suggested as an alternative but require a conceptual shift, implying that DT-VAR parameters reflect total rather than direct effects. In this paper, we propose and illustrate a CT network approach using CT-VAR models. We define a new network representation and develop centrality measures which inform intervention targeting. This methodology is illustrated with an ESM dataset.

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