scholarly journals Prediction-based control of LTI systems with input and output time-varying delays

2018 ◽  
Vol 112 ◽  
pp. 24-30 ◽  
Author(s):  
V. Léchappé ◽  
E. Moulay ◽  
F. Plestan
Keyword(s):  
Time Varying ◽  
Input And Output ◽  
Output Time

The Influence of Variable-Speed Waveforms on Vibration Suppression in Time-Varying Speed Cutting

2013 ◽  
Vol 690-693 ◽  
pp. 2514-2518
Author(s):  
Juan Cong ◽  
Yun Wang ◽  
Wei Na Yu
Keyword(s):  
Wave Speed ◽  
Vibration Suppression ◽  
Sine Wave ◽  
Time Varying ◽  
Variable Speed ◽  
Suppression Effect ◽  
Speed Variation ◽  
Input And Output ◽  
System Input ◽  
Better Than

Through the research on the change of system input and output energy in time-varying speed cutting, the influence of variable-speed waveforms on vibration suppression effect in time-varying speed cutting is quantitatively analyzed in this paper. A conclusion can be drawn that sine wave speed variation is better than triangle wave speed variation in vibration suppression.

Reduction of Arbitrary Dynamical Systems by Wavelet Bases

2001 ◽  
Author(s):  
Roger Ghanem ◽  
Francesco Romeo
Keyword(s):  
Dynamical Systems ◽  
Reduction Process ◽  
Inner Product ◽  
Scaling Functions ◽  
Time Varying ◽  
Governing Equations ◽  
Wavelet Bases ◽  
Input And Output ◽  
Analytical Expressions

Abstract A procedure is developed for the identification and classification of nonlinear and time-varying dynamical systems based on measurements of their input and output. The procedure consists of reducing the governing equations with respect to a basis of scaling functions. Given the localizing properties of wavelets, the reduced system is well adapted to predicting local changes in time as well as changes that are localized to particular components of the system. The reduction process relies on traditional Galerkin techniques and recent analytical expressions for evaluating the inner product between scaling functions and their derivatives. Examples from a variety of dynamical systems are used to demonstrate the scope and limitations of the proposed method.

scholarly journals Observer-based control for active suspension system with time-varying delay and uncertainty

2019 ◽  
Vol 11 (11) ◽  
pp. 168781401988950 ◽  
Author(s):  
Kuiyang Wang ◽  
Ren He ◽  
Heng Li ◽  
Jinhua Tang ◽  
Ruochen Liu ◽  
...  
Keyword(s):  
Active Suspension ◽  
State Observer ◽  
Suspension System ◽  
Linear Matrix ◽  
Model Parameters ◽  
Time Varying ◽  
Gain Matrix ◽  
Time Varying Delay ◽  
Input And Output ◽  
Varying Delay

Time-varying input delay of actuators, uncertainty of model parameters, and input and output disturbances are important issues in the research on active suspension system of vehicle. In this article, a design methodology involving state observer and observer-based dynamic output-feedback [Formula: see text] controller considering the above four factors simultaneously is put forward for active suspension system. First, the dynamics equations of active suspension system with time-varying delay are established according to its structure and principle, and its state equations, state observer, and observer-based controller considering time-varying delay, uncertainty of model parameters, and input and output disturbances are given separately. Second, the observer-based controller for quarter-vehicle active suspension system is designed in terms of the linear matrix inequality and the Lyapunov–Krasovskii functional, and the design problem of observer-based controller is converted into the solving problem of linear matrix inequalities. Finally, the gain matrix of observer and the gain matrix of controller are obtained by means of the developed controller and the model parameters of active suspension system; the MATLAB/Simulink model of this system is established; and three numerical simulation cases are given to show the effectiveness of the proposed scheme.

Multiplier-Free IIR Filter Realizations with Periodically Time-Varying Coefficients

1997 ◽  
Vol 07 (04) ◽  
pp. 231-248
Author(s):  
Sawasd Tantaratana
Keyword(s):  
Processing Speed ◽  
Vlsi Design ◽  
Fir Filters ◽  
Time Varying ◽  
Chip Area ◽  
Varying Coefficients ◽  
Iir Filter ◽  
Input And Output ◽  
Time Varying Coefficients

In this paper, the periodically time-varying (PTV) structure, previously proposed for realizing FIR filters, is extended to IIR filter realization. The realization consists of ternary ({0, ±1}) or quinary ({0, ±1, ±2}) PTV coefficients with simple input and output units. Coefficient multiplications as well as the input and output units require no hardware multiplier, which helps increase the processing speed or reduce the chip area. Bit-level architectures are presented. The regularity and local interconnection of the architectures help simplify VLSI design and layout.

The Design and Implementation of Key Technologies of the Computer Algorithm Dynamic System

2014 ◽  
Vol 687-691 ◽  
pp. 1174-1177
Author(s):  
Wen Zheng Dai
Keyword(s):  
Neural Network ◽  
Dynamic System ◽  
Network Model ◽  
Learning Algorithm ◽  
Time Varying ◽  
Output Process ◽  
Actual Problem ◽  
Input And Output ◽  
Feedback Network ◽  
Network Simulation Model

This topic mainly aimed at the dynamic simulation of some actual problems. The research is suitable for the dynamic system of modeling artificial model and learning algorithm. First it summarizes the existing network simulation model of dynamic system and network delay unit. All the feedback network and part of the feedback network model, the network topology is given and used for system simulation. The method of simulation learning algorithm and simulation instance. And then established the time-varying input and output process neural networks and network model of two kinds of discrete process neural network for its properties are analyzed and proved that the concrete learning algorithm is deduced. Finally combined with the actual problem, time-varying input and output process neural network is given in the application of system identification.

scholarly journals Input and Output Passivity of Complex Dynamical Networks with General Topology

2010 ◽  
Vol 2010 ◽  
pp. 1-19
Author(s):  
Jinliang Wang
Keyword(s):  
Linear Matrix Inequalities ◽  
General Topology ◽  
Linear Matrix ◽  
Lyapunov Functionals ◽  
Time Varying ◽  
Matrix Inequalities ◽  
Complex Dynamical Network ◽  
Dynamical Network ◽  
Input And Output ◽  
Generalized Complex

The input passivity and output passivity are investigated for a generalized complex dynamical network, in which the coupling may be nonlinear, time-varying, and nonsymmetric. By constructing some suitable Lyapunov functionals, some input and output passivity criteria are derived in form of linear matrix inequalities (LMIs) for complex dynamical network. Finally, a numerical example and its simulation are given to illustrate the efficiency of the derived results.

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