Modeling Human Multichannel Perception and Control Using Linear Time-Invariant Models

2008 ◽  
Vol 31 (4) ◽  
pp. 999-1013 ◽  
Author(s):  
F. M. Nieuwenhuizen ◽  
P. M. T. Zaal ◽  
M. Mulder ◽  
M. M. Van Paassen ◽  
J. A. Mulder
Keyword(s):  
Linear Time ◽  
Linear Time Invariant ◽  
And Control ◽  
Time Invariant

Dynamic Polytope Function and Control Modeling

2001 ◽  
Author(s):  
Du Wang ◽  
Zhongyang Guo ◽  
Ichiro Hagiwara
Keyword(s):  
Linear Time ◽  
Synthesis Method ◽  
Suspension System ◽  
Observer Design ◽  
Vehicle Suspension ◽  
Linear Time Invariant ◽  
Vehicle Suspension System ◽  
Linear Time Invariant System ◽  
And Control ◽  
Time Invariant

Abstract This study is motivated from the investigation of vehicle suspension system with changeable damping and variant stiffness parameters. Such suspension system can be modeled as a dynamic polytope based on the mapping of affinely changed parameters. According to the polytopic dynamics decomposition, knowledge of linear time invariant system can be applied to each polytope vertex and the time variant system is solved by the polytope convex synthesis method. For time variant vehicle suspension system, the different model structures for control purposes are formulated. A quarter-car is taken as the example for demonstration in observer design and nonlinear control design.

Modeling and path-tracking control of a mobile wheeled robot with a differential drive

Robotica ◽  
1995 ◽  
Vol 13 (4) ◽  
pp. 401-410 ◽  
Author(s):  
R. M. DeSantis
Keyword(s):  
Tracking Control ◽  
Linear Time ◽  
Path Tracking ◽  
Modeling And Control ◽  
Differential Drive ◽  
Linear Time Invariant ◽  
Wheeled Robot ◽  
And Control ◽  
Time Invariant ◽  
Kinematic Properties

SummaryTopics relevant to modeling and control of mobile wheeled robots with a differential drive are discussed by assuming a motion that is planar and free from lateral and longitudinal slippages, and by taking into account dynamic and kinematic properties of the vehicle. Based on the concept of geometric path-tracking, a controller is designed that is a memoryless function of the lateral, heading, and velocity path-tracking offsets. If these offsets are kept small and the assigned tracking velocity is constant, then this controller may be given a linear, time-invariant and decoupled PID (Proportional + integral + derivative) structure.

scholarly journals Control and Optimization of Network in Networked Control System

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Wang Zhiwen ◽  
Sun Hongtao
Keyword(s):  
Numerical Simulation ◽  
Linear Time ◽  
Networked Control System ◽  
Network Congestion ◽  
Linear Quadratic ◽  
Linear Time Invariant ◽  
Simulation Results ◽  
And Control ◽  
Time Invariant

In order to avoid quality of performance (QoP) degradation resulting from quality of service (QoS), the solution to network congestion from the point of control theory, which marks departure of our results from the existing methods, is proposed in this paper. The congestion and bandwidth are regarded as state and control variables, respectively; then, the linear time-invariant (LTI) model between congestion state and bandwidth of network is established. Consequently, linear quadratic method is used to eliminate the network congestion by allocating bandwidth dynamically. At last, numerical simulation results are given to illustrate the effectiveness of this modeling approach.

Integral Sliding-Mode Observation and Control for Switched Uncertain Linear Time Invariant Systems: a Robustifying Strategy

2017 ◽  
Vol 20 (4) ◽  
pp. 1551-1565 ◽  
Author(s):  
Rosalba Galván-Guerra ◽  
Leonid Fridman ◽  
Rafael Iriarte ◽  
Juan-Eduardo Velázquez-Velázquez ◽  
Martin Steinberger
Keyword(s):  
Sliding Mode ◽  
Linear Time ◽  
Integral Sliding Mode ◽  
Linear Time Invariant ◽  
Linear Time Invariant Systems ◽  
And Control ◽  
Time Invariant
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