scholarly journals Deployment of a Software to Simulate Control Systems in the State-Space

Electronics ◽  
2019 ◽  
Vol 8 (11) ◽  
pp. 1205 ◽  
Author(s):  
María Flores ◽  
Luis Payá ◽  
David Valiente ◽  
Julio Gallego ◽  
Oscar Reinoso
Keyword(s):  
State Feedback ◽  
Graphical Representation ◽  
Simulation Software ◽  
State Feedback Control ◽  
Physical Systems ◽  
Virtual Plant ◽  
Single Output ◽  
Multiple Input ◽  
Integral Controller ◽  
Single Input

In this work, we present a simulation software that permits designing and testing several types of controllers based on both classical and modern control theory. It has been created using Easy JavaScript Simulations, since this software permits implementing interactive simulations of physical systems in a quick and intuitive way. This laboratory contains a SISO (Single-Input and Single-Output) and a MIMO (Multiple-Input and Multiple-Output) plant, which are hydraulic and nonlinear, thus the linear model (linearized equations) and the original model (nonlinerized equations) have been implemented. The user can choose any of these physical systems and they have the options to control them using either continuous-time or discrete-time controllers. All parameters of the plant are fully configurable by the user. After that, the controller can be designed and tested. This simulation software offers several configurations: (a) PID (Proportional, Integral and Derivative controller); (b) state feedback; (c) observer and state feedback; and (d) integral controller, observer and state feedback control. The evolution of the controlled system is visualized using an animation of the virtual plant and a graphical representation of the evolution of the most important variables. In this paper, the steps for the implementation of this simulation software are detailed.

Estimation Design Using Youla Parametrization With Automotive Applications

2018 ◽  
Vol 140 (8) ◽  
Author(s):  
Francis Assadian ◽  
Alex K. Beckerman ◽  
Jose Velazquez Alcantar
Keyword(s):  
Kalman Filtering ◽  
Feedback Stabilization ◽  
Estimation Technique ◽  
Single Input Single Output ◽  
Normal Forces ◽  
Single Output ◽  
Multiple Input ◽  
Single Input ◽  
Established Technique ◽  
Better Than

Youla parametrization is a well-established technique in deriving single-input single-output (SISO) and, to a lesser extent, multiple-input multiple-ouput (MIMO) controllers (Youla, D., Bongiorno, J. J., Jr., and Lu, C., 1974, “Singleloop Feedback-Stabilization of Linear Multivariable Dynamical Plants,” Automatica, 10(2), pp. 159–173). However, the utility of this methodology in estimation design, specifically in the framework of controller output observer (COO) (Ozkan, B., Margolis, D., and Pengov, M., 2008, “The Controller Output Observer: Estimation of Vehicle Tire Cornering and Normal Forces,” ASME J. Dyn. Syst., Meas., Control, 130(6), p. 061002), is not established. The fundamental question to be answered is as follows: is it possible to design a deterministic estimation technique using Youla paramertization with the same robust performance, or better, than well-established stochastic estimation techniques such as Kalman filtering? To prove this point, at this stage, a comparative analysis between Youla parametrization in estimation and Kalman filtering is performed through simulations only. In this paper, we provide an overview of Youla parametrization for both control and estimation design. We develop a deterministic SISO and MIMO Youla estimation technique in the framework of COO, and we investigate the utility of this method for two applications in the automotive domain.

SINGLE-INPUT MULTI-OUTPUT STATE-FEEDBACK CHAOTIFICATION OF GENERAL DISCRETE SYSTEMS

2004 ◽  
Vol 14 (09) ◽  
pp. 3317-3323 ◽  
Author(s):  
HUAIZHOU ZHANG ◽  
GUANRONG CHEN
Keyword(s):  
Discrete Time ◽  
State Feedback ◽  
Discrete Systems ◽  
Input State ◽  
Output State ◽  
Discrete Time Systems ◽  
Multiple Input ◽  
Single Input ◽  
Time Systems

This Letter improves the Chen–Lai chaotification algorithm for discrete-time systems from multiple-input to single-input state feedback, while preserving its mathematical rigor.

Novel Modeling Method for Networked Control Systems with Packet Disordering

2012 ◽  
Vol 433-440 ◽  
pp. 2491-2497
Author(s):  
Shi Qian Han ◽  
Jin Na Li ◽  
Mao Quan Wu
Keyword(s):  
Control Systems ◽  
Packet Loss ◽  
Networked Control Systems ◽  
Modeling Method ◽  
Networked Control ◽  
The Novel ◽  
Single Output ◽  
Multiple Input ◽  
Single Input ◽  
Novel Model

This paper focuses on the modeling problem for networked control systems subject to packet disordering. Both network-induced delay and packet loss are taken into consideration. In constructing the model, we first present the novel model for single input and single output (SISO) networked control systems based on the displacement values of packets in terms of switched systems theory, and then which can be extended to the case in multiple input and multiple output (MIMO) networked control systems with packet disordering. The merits or advantages of the modeling method proposed include describing fully the phenomenon of packet disordering, guaranteeing the newest signals to be executed and extensive applicability.

scholarly journals Space-Time-Color (STC) Scheme with Symbol-Hopping for Color Shift Keying (CSK)Modulation

2021 ◽  
Author(s):  
Leandro Ximenes ◽  
Rangel Arthur ◽  
igor Santos Cruz Rodrigues
Keyword(s):  
Mimo Systems ◽  
Communication Link ◽  
Visible Light Communications ◽  
Single Output ◽  
Multiple Input ◽  
Shift Keying ◽  
Single Input ◽  
Diversity Gains ◽  
Csk Constellation ◽  
Siso Systems

<div>This paper proposes a novel coding scheme for Visible Light Communications (VLC) systems using symbol mapping permutations on the color domain. The permutation is done through symbol-hopping over the points of an optimized 4-CSK constellation. This scheme provides diversity gains, promises robustness against monochromatic channel degradation, and increases the information security of the communication link. It can also be used in conjunction with Single-Input and Single-Output (SISO) systems, as well as in Multiple-Input and Multiple-Output (MIMO) systems. Monte Carlo computational simulations evaluate the performance of the proposed scheme over the conventional QuadLED (QLED) CSK system and other codes, showing superior coding and diversity gains over two direct competitors, under a Rician flat-fading channel.</div>

scholarly journals A new Transmission and Reception Algorithms for Improving the Performance of SISO/MIMO- OFDM Wireless Communication System

2021 ◽  
Vol 28 (3) ◽  
pp. 146-158
Author(s):  
Maha Monther Shahab ◽  
Saad Mshhain Hardan ◽  
Asmaa Salih Hammoodi
Keyword(s):  
Wireless Communication ◽  
Multiple Input Multiple Output ◽  
Low Complexity ◽  
Mimo Channels ◽  
Single Input Single Output ◽  
Single Output ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Mimo Ofdm ◽  
Single Input

The future wireless communication requires a reliable transmission at high data rates, so the transmission over frequency-selective fading Multiple-Input–Multiple-Output MIMO channels become interesting since the capacity of "MIMO" channels expressions enormous gains above that of their essential single-input–single-output "SISO" channels. This paper examines the performance of the Low Complexity Zero Forcing "LCZF" equalizer for both systems single-input–single-output-Orthogonal Frequency Division Multiplexing" SISO-OFDM" and spatially multiplexed-Multiple-Input–Multiple-Output "SM-MIMO-OFDM" with different "QAM" modulations. It is exploring a new algorithm to improve the performance of the "BER", spectral efficiency, and power efficiency and to reduce the complexity of the "RF" communication system under the effect of the Additive White Gaussian Noise "AWGN" and multipath fading channel. It is also improves an efficient channel by developing a Low Complexity Zero Forcing "LCZF" equalizer for both "SISO-OFDM" and "SM-MIMO-OFDM" wireless Communication systems. This is done by proposing a new algorithm at the receiver side to covert the Linear Convolution in to Cyclic Convolution by adding Zero Padding "ZP" to the channel impulse response in such a way to be the same length to the transmitted signal in the time domain which is of length N, where N is the length of "IFFT".

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