Continuous-time control of distributed processes via microscopic simulations

2004 ◽  
Author(s):  
A. Armaou
Keyword(s):  
Continuous Time ◽  
Time Control ◽  
Distributed Processes

Continuous-Time Control Processes

1979 ◽  
pp. 79-115
Author(s):  
Iosif Il’ich Gihman ◽  
Anatoliĭ Vladimirovich Skorohod
Keyword(s):  
Continuous Time ◽  
Control Processes ◽  
Time Control

scholarly journals Block Method for SolvingState-Space Equations of Linear Continuous-Time Control Systems

2007 ◽  
Vol 4 (2) ◽  
pp. 318-329
Author(s):  
Baghdad Science Journal
Keyword(s):  
State Space ◽  
Continuous Time ◽  
Mimo Systems ◽  
Multiple Input Multiple Output ◽  
Method Comparison ◽  
The State ◽  
Block Method ◽  
Single Input Single Output ◽  
Single Output ◽  
Time Control

This paper presents a newly developed method with new algorithms to find the numerical solution of nth-order state-space equations (SSE) of linear continuous-time control system by using block method. The algorithms have been written in Matlab language. The state-space equation is the modern representation to the analysis of continuous-time system. It was treated numerically to the single-input-single-output (SISO) systems as well as multiple-input-multiple-output (MIMO) systems by using fourth-order-six-steps block method. We show that it is possible to find the output values of the state-space method using block method. Comparison between the numerical and exact results has been given for some numerical examples for solving different types of state-space equations using block method for conciliated the accuracy of the results of this method.

scholarly journals Algorithms for U-Model-Based Dynamic Inversion (UM-Dynamic Inversion) for Continuous Time Control Systems

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-14 ◽  
Author(s):  
Ruobing Li ◽  
Quanmin Zhu ◽  
Janice Kiely ◽  
Weicun Zhang
Keyword(s):  
Control System ◽  
System Design ◽  
Continuous Time ◽  
Design Procedure ◽  
Control System Design ◽  
Dynamic Inversion ◽  
Wind Energy Conversion ◽  
Model Based ◽  
Time Control ◽  
Energy Conversion System

To setup a universal proper user toolbox from previous individual research publications, this study generalises the algorithms for the U-model dynamic inversion based on the realisation of U-model from polynomial and state-space described continuous-time (CT) systems and presents the corresponding U-control system design in a systematic procedure. Then, it selects four CT dynamic plants plus a wind energy conversion system for simulation case studies in Matlab/Simulink to test/demonstrate the proposed U-model-based design procedure and dynamic inversion algorithms. This work can be treated as a U-control system design user manual in some sense.

A Target Tracking Approach for Nonholonomic Agents Based on Artificial Potentials and Sliding Mode Control

2012 ◽  
Vol 134 (6) ◽  
Author(s):  
Veysel Gazi ◽  
Barış Fidan ◽  
Raúl Ordóñez ◽  
M. İlter Köksal
Keyword(s):  
Sliding Mode Control ◽  
Target Tracking ◽  
Continuous Time ◽  
Sliding Mode ◽  
Control Techniques ◽  
Maneuvering Target ◽  
Mode Control ◽  
Time Control ◽  
Control Scheme ◽  
Simulation Results

In this paper, we consider the task of tracking a maneuvering target both with a single nonholonomic agent and a swarm of nonholonomic agents. In order to achieve the tracking task, a decentralized continuous-time control scheme, which combines artificial potentials and sliding mode control techniques, is developed via constructive analysis. The effectiveness of the proposed control scheme is established analytically and demonstrated via a set of simulation results.

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