Transfer function

About: Transfer function is a research topic. Over the lifetime, 14362 publications have been published within this topic receiving 214983 citations. The topic is also known as: system function & network function.

Transfer function estimation from noisy input and output data

Abstract: Two new types of bias-eliminated least-squares (BELS) based algorithms are proposed for consistent identification of linear systems with noisy input and output measurements. It is shown that estimation of the noise variances can be implemented through one-dimension over-parametrization of the system transfer function. The two modified BELS algorithms are attractive and meaningful in that noisy data are used directly in identification with no prefiltering and a direct estimate of system parameters is given without any parameter transformation. Simulation examples are included to demonstrate the effectiveness of the two proposed algorithms. © 1998 John Wiley & Sons, Ltd.

Sensitivity of automatic control systems

Abstract: Preface Parametric Models State Variables and Control System Parameters Parametric Models of Control Systems Sensitivity Functions and their Applications Finite-Dimensional Continuous Systems Finite-Dimensional Continuous Systems Depending on a Parameter Second Lyapunov's Method in Sensitivity Theory Sensitivity on Infinite Time Intervals Sensitivity Analysis of Self-Oscillating Systems in the Time Domain Sensitivity of Non-Autonomous Systems Sensitivity of Solutions of Boundary Value Problems Finite-Dimensional Discontinuous Systems Sensitivity Equations for Finite Dimensional Discontinuous Systems Sensitivity Equations for Relay Systems Sensitivity Equations for Pulse and Relay-Pulse Systems Discontinuous Systems Given by Operator Models Operator Parametric Models of Control Systems Operator Models of Discontinuous Systems Sensitivity of Operator Models Sensitivity Equations of Relay and Pulse Systems Non-Time Characteristics Sensitivity of Transfer Function and Frequency Response of Linear Systems Sensitivity of Zeros and Poles Sensitivity of Eigenvalues and Eigenvectors of Linear Time Invariant Control Systems Sensitivity of Integral Quality Indices Indirect Characteristics of Sensitivity Functions Sensitivity Invariants Sensitivity Invariants of Time Characteristics Root and Transfer Function Sensitivity Invariants Sensitivity Invariants of Frequency Responses Sensitivity Invariants of Integral Estimates Sensitivity Invariants for Gyroscopic Systems Sensitivity of Mathematical Programming Sensitivity of Linear Programming Problems Sensitivity of Optimal Solutions of Non-Linear Programming Problems Sensitivity of a Simplest Variational Problem Sensitivity of Variational Problems with Flexible Boundaries and Corner Points Sensitivity of Variational Problems on Conditional Extremum Applied Sensitivity Problems Direct and Inverse Problems of Sensitivity Theory Identification of Dynamic Systems Distribution of Parameter Tolerance Synthesis of Insensitive Systems Numerical Solution of Sensitivity Equations

Mechanical Engineer's Handbook

Abstract: Preface Contributors 1. Statics Vector Algebra Centroids and Surface Properties Moments and Couples Equilibrium Dry Friction 2. Dynamics Fundamentals Kinematics of a Point Dynamics of a Particle Planar Kinematics of a Rigid Body Dynamics of a Rigid Body 3. Mechanics of Materials Stress Deflection and Stiffness Fatigue 4. Theory of Mechanisms Fundamentals Position Analysis Velocity and Acceleration Analysis Kinetostatics 5. Machine Components Screws Gears Springs Rolling Bearings Lubrication and Sliding Bearings 6. Theory of Vibration Introduction Linear Systems with One Degree of Freedom Linear Systems with Finite Numbers of Degrees of Freedom Machine-Tool Vibrations 7. Principles of Heat Transfer Heat Transfer Thermodynamics Conduction Heat Transfer Convection Heat Transfer 8. Fluid Dynamics Fluids Fundamentals Hydraulics 9. Control Introduction Signals Transfer Functions Connection of Elements Poles and Zeros Steady-State Error Time-Domain Performance Frequency-Domain Performances Stability of Linear Feedback Systems Design of Closed-Loop Control Systems by Pole-Zero Methods Design of Closed-Loop Control Systems by Frequential Methods State Variable Models Nonlinear Systems Nonlinear Controllers by Feedback Linearization Sliding Control Appendix: Differential Equations and Systems of Differential Equations Index

Real-time coupling coefficient estimation and maximum efficiency control on dynamic wireless power transfer for electric vehicles

Abstract: Maximum efficiency control using a DC/DC converter on the secondary side can improve transmitting efficiency in dynamic wireless power transfer system for electric vehicles. However, the information of coupling coefficient has to be estimated to implement the control although coupling coefficient changes dynamically. In this paper, a simple method of coupling coefficient estimation with RLS (Recursive least squares) filter is proposed. Dynamics of WPT system is analyzed with transfer functions. Moreover, the modeling and the control method of DC/DC converter are introduced. The experimental results of real-time coupling coefficient estimation and maximum efficiency control are provided and they indicate the effectiveness of the proposed control in a real dynamic wireless power transfer system for EVs.