• No results found

Minimum phase

Analysis of a non minimum phase acoustic beamformer

Analysis of a non minimum phase acoustic beamformer

... The two input Griffiths-Jim acoustic beamformer is analysed in the frequency domain using a Wiener type formulation. Unlike previous solutions the approach here is to look at the problem of non-minimum ...

12

ORDER REDUCTION OF LINEAR SYSTEMS WITH KEEPING THE MINIMUM PHASE CHARACTRISTIC OF THE SYSTEM: LMI BASED APPROACH

ORDER REDUCTION OF LINEAR SYSTEMS WITH KEEPING THE MINIMUM PHASE CHARACTRISTIC OF THE SYSTEM: LMI BASED APPROACH

... Abstract– Model order reduction is known as the problem of minimizing the -norm of the difference between the transfer function of the original system and the reduced one. In many papers, linear matrix inequality (LMI) ...

11

Adaptive Fuzzy Model Predictive Control for Non-minimum Phase and Uncertain Dynamical Nonlinear Systems

Adaptive Fuzzy Model Predictive Control for Non-minimum Phase and Uncertain Dynamical Nonlinear Systems

... Abstract—this paper introduces a method to design a robust adaptive predictive control based on Fuzzy model. The plant to be used as predictive model is simulated by Takagi- Sugeno Fuzzy Model, and the optimization ...

11

Forced dynamic control of non minimum phase plants via study of the classical inverted pendulum

Forced dynamic control of non minimum phase plants via study of the classical inverted pendulum

... non-minimum phase plants, can be designed by pole assignment, an acceptable transient response being attainable by balancing the right half plane zeros by mirror image poles (Franklin et ...

10

Robust PID Controller Design for Non Minimum Phase Systems using Magnitude Optimum and Multiple Integration and Numerical Optimization Methods

Robust PID Controller Design for Non Minimum Phase Systems using Magnitude Optimum and Multiple Integration and Numerical Optimization Methods

... For the purpose of simplified analysis, this process model can only be used.. But the actual may have multiple lags, non- minimum phase zero, etc. Similarly, another industrial process is characterized as ...

6

Output Consensus Control of Nonlinear Non-minimum Phase Multi-agent Systems Using Output Redefinition Method

Output Consensus Control of Nonlinear Non-minimum Phase Multi-agent Systems Using Output Redefinition Method

... ABSTRACT: This paper concerns the problem of output consensus in nonlinear non-minimum phase systems. The main contribution of the paper is to guarantee achieving consensus in the presence of unstable zero ...

10

A New Near Optimal High Gain Controller For The Non-Minimum Phase Affine Nonlinear Systems

A New Near Optimal High Gain Controller For The Non-Minimum Phase Affine Nonlinear Systems

... In this paper, we propose a new method to approximate a high gain optimal regulator for the special class of non-minimum phase, affine nonlinear systems whose internal dynamics are non-affine with respect ...

12

Contouring Control Of Non-Minimum Phase XY Table System Using Trajectory ZPETC

Contouring Control Of Non-Minimum Phase XY Table System Using Trajectory ZPETC

... Non-minimum phase (NMP) model is a discrete-time model obtained from small or reducing sampling-time of open-loop input and output experimental ...to phase and gain errors that caused by NMP zero. ...

6

New Discrete Predictive Sliding Mode Control for Non Minimum Phase Systems

New Discrete Predictive Sliding Mode Control for Non Minimum Phase Systems

... Above no linear, non minimum phase process has been used to show the controller performance. After linearizing model (29) about the operating point the physical model gives the following transfer function ...

8

An Efficient Robust Servo Design for Non-Minimum Phase Discrete-Time Systems with Unknown Matched/Mismatched Input Disturbances

An Efficient Robust Servo Design for Non-Minimum Phase Discrete-Time Systems with Unknown Matched/Mismatched Input Disturbances

... Abstract: This paper presents an efficient proportional-plus-integral (PI) current-output observer-based linear quadratic discrete tracker (LQDT) design methodology for the non-minimum-phase (NMP) ...

15

Perfect Tracking of Supercavitating Non-minimum Phase Vehicles Using a New Robust and Adaptive Parameter-optimal Iterative Learning Control

Perfect Tracking of Supercavitating Non-minimum Phase Vehicles Using a New Robust and Adaptive Parameter-optimal Iterative Learning Control

... simplification of equations of supercavitating systems for two fin input and cavitator input. The cavitator force could not provide the lift force needed for underwater vehicles; on the other hand, the force produced by ...

10

Point to point trajectory tracking with two degree of freedom robust control for a non minimum phase electro hydraulic system

Point to point trajectory tracking with two degree of freedom robust control for a non minimum phase electro hydraulic system

... the phase error in the trajectory tracking is always neglected in that control ...the phase lag that regularly caused by feedback loop in closed loop ...For minimum phase model, the perfect ...

8

Discrete predictive optimal ILC implemented on a non minimum phase experimental testbed

Discrete predictive optimal ILC implemented on a non minimum phase experimental testbed

... The implementation of the N = 1 case has been achieved using a sampling frequency of 100Hz. The two demands used, appearing as signals in Figures 6 and 7, are each six seconds long, giving M = 600. The first three ...

6

Partial Equalization of Non-Minimum-Phase Impulse Responses

Partial Equalization of Non-Minimum-Phase Impulse Responses

... non-minimum- phase) measured impulse responses of the systems is not pos- sible since it leads to unstable equalization filter ...a minimum-phase se- quence and a maximum-phase (or ...

8

Modelling And Control Design Of Quadruple Conical Tank Process With Minimum And Non Minimum Phase Behaviour

Modelling And Control Design Of Quadruple Conical Tank Process With Minimum And Non Minimum Phase Behaviour

... processes are highly non-linear and dynamic. Design of Multivariable control system is of great demand in the process industries. Systems with more than one actuating control input and more than one sensor output are ...

10

BANDWIDTH OPTIMIZATION TO ACHIEVE MINIMUM PHASE NOISE IN FREQUENCY SYNTHESIZERS

BANDWIDTH OPTIMIZATION TO ACHIEVE MINIMUM PHASE NOISE IN FREQUENCY SYNTHESIZERS

... the phase noise of the single loop second-order frequency fractional-N ...output phase noise in the application of commercial and military subsystems as well as general local ...the minimum ...

12

Robust Stabilization of Non-minimum Phase System with Periodic Control

Robust Stabilization of Non-minimum Phase System with Periodic Control

... 261 The performance comparison has been done with LQR and SMC. The veracity of the claim has been established through experimental results. The continuous-time periodic controller has provided superior gain (11.34, w.r.t ...

10

Experimental evaluation of iterative learning control algorithms for non minimum phase plants

Experimental evaluation of iterative learning control algorithms for non minimum phase plants

... lead ILC has been discussed and a method of predicting their value and harm- fulness given. A number of both causal and non-causal filters have been tested and design procedures described in order to maximize ...

56

Two degree of freedom Robust Control for a Non minimum Phase
Electro hydraulic  System

Two degree of freedom Robust Control for a Non minimum Phase Electro hydraulic System

... The increasing numbers of works dealing with EHA system over the past decades involved a linear control, intelligent contol and nonlinear control approaches such as neural network NN [0][r] ...

6

Calculating the minimum wage

Calculating the minimum wage

... the minimum wage for any additional hours worked over and above the contractual ...the minimum wage in each pay reference period may not result in exactly the same figure as the total worked in the ...

56

Show all 10000 documents...

Related subjects