Flow control by feedback stabilization & mixing

By: Aamo, O.M & Krstic, MContributor(s): Miroslav KrstićMaterial type: Text

TextSeries: Communications & control engineeringPublication details: Berlin Springer 2003 Description: xi,198 pISBN: 1852336692 (HB)Subject(s): Control theory | Fluid dynamic measurements

Contents:

Introduction Why Flow Control? Scope of this Monograph Stabilization 3 (2) Mixing Governing Equations Kinematics Conservation of Mass Conservation of Momentum The Dimensionless Navier-Stokes Equation Cartesian Coordinates Cylindrical Coordinates Perturbations and the Linearized Navier-Stokes Equation Cartesian Coordinates Cylindrical Coordinates Prototype Flows 3D Channel Flow 3D Pipe Flow 2D Channel/Pipe Flow 2D Cylinder Flow Spatial Discretization Spectral Methods The Fourier-Galerkin Method The Chebyshev Collocation Method Control Theoretic Preliminaries 31 (10) Linear Time-Invariant Systems Classical Control LQG Control H2 Control H∞ Control Nonlinear Systems Stability in the Sense of Lyapunov Integrator Backstepping Stabilization Linearization and Reduced Order Methods 42 (19) 2D Channel Flow 3D Channel Flow Spatial Invariance Yields Localized Control Lyapunov Stability Approach 2D Channel Flow Regularity of Solutions of the Controlled Channel Flow 3D Channel Flow 3D Pipe Flow Drag Reduction Below Laminar Flow Suppression of Vortex Shedding Simulations of the Controlled Navier-Stokes Equation The Ginzburg-Landau Equation Energy Analysis Stabilization by State Feedback Simulation Study Mixing Dynamical Systems Approach Chaotic Advection in the Blinking Vortex Flow Particle Transport in the Mixing Region of the Oscillating Vortex Pair Flow Diagnostic Tools for Finite-Time Mixing Destabilization of 2D Channel Flow Numerical Simulations Optimal Mixing in 3D Pipe Flow 155 (19) Sensing and Actuation Measures of Mixing Energy Analysis Optimality Detectability of Mixing 164 (4) Numerical Simulations Particle Dispersion in Bluff Body Wakes Sensors and Actuators Controlling Small-Scale Features Micro-Electro-Mechanical-Systems (MEMS) 180 (3) General Properties of MEMS Micro Sensors Micro Actuators Concluding Remarks A Coefficients for the Ginzburg-Landau Equation 1 Bibliography Index

Summary: "The emergence of flow control as an attractive new field is owed to breakthroughs in MEMS (microelectromechanical systems) and related technologies. The instrumentation of fluid flows on extremely short length and short time scales requires the practical tool of control algorithms with provable performance guarantees. Dedicated to this problem, Flow Control by Feedback, brings together controller design and fluid mechanics expertise in an exposition of the latest research results."--Jacket

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings ( 1 )
Title notes ( 2 )
Comments ( 0 )

Holdings
Item type	Current library	Collection	Call number	Materials specified	Status	Date due	Barcode
Books	TIFR CAM Library	DRDO-IISC	14.03+15.04 AAMO (Browse shelf(Opens below))		Available		M5885

Introduction
Why Flow Control?
Scope of this Monograph
Stabilization
3 (2)
Mixing
Governing Equations
Kinematics
Conservation of Mass
Conservation of Momentum
The Dimensionless Navier-Stokes Equation
Cartesian Coordinates
Cylindrical Coordinates
Perturbations and the Linearized Navier-Stokes Equation
Cartesian Coordinates
Cylindrical Coordinates
Prototype Flows
3D Channel Flow
3D Pipe Flow
2D Channel/Pipe Flow
2D Cylinder Flow

Spatial Discretization
Spectral Methods
The Fourier-Galerkin Method
The Chebyshev Collocation Method
Control Theoretic Preliminaries
31 (10)
Linear Time-Invariant Systems
Classical Control
LQG Control
H2 Control
H∞ Control
Nonlinear Systems

Stability in the Sense of Lyapunov
Integrator Backstepping
Stabilization
Linearization and Reduced Order Methods
42 (19)
2D Channel Flow
3D Channel Flow
Spatial Invariance Yields Localized Control
Lyapunov Stability Approach
2D Channel Flow
Regularity of Solutions of the Controlled Channel Flow
3D Channel Flow
3D Pipe Flow
Drag Reduction Below Laminar Flow
Suppression of Vortex Shedding
Simulations of the Controlled Navier-Stokes Equation
The Ginzburg-Landau Equation
Energy Analysis
Stabilization by State Feedback
Simulation Study
Mixing
Dynamical Systems Approach
Chaotic Advection in the Blinking Vortex Flow

Particle Transport in the Mixing Region of the Oscillating Vortex Pair Flow
Diagnostic Tools for Finite-Time Mixing
Destabilization of 2D Channel Flow
Numerical Simulations
Optimal Mixing in 3D Pipe Flow
155 (19)
Sensing and Actuation
Measures of Mixing
Energy Analysis
Optimality
Detectability of Mixing
164 (4)
Numerical Simulations
Particle Dispersion in Bluff Body Wakes
Sensors and Actuators
Controlling Small-Scale Features
Micro-Electro-Mechanical-Systems (MEMS)
180 (3)
General Properties of MEMS
Micro Sensors
Micro Actuators
Concluding Remarks
A Coefficients for the Ginzburg-Landau Equation 1
Bibliography
Index

"The emergence of flow control as an attractive new field is owed to breakthroughs in MEMS (microelectromechanical systems) and related technologies. The instrumentation of fluid flows on extremely short length and short time scales requires the practical tool of control algorithms with provable performance guarantees. Dedicated to this problem, Flow Control by Feedback, brings together controller design and fluid mechanics expertise in an exposition of the latest research results."--Jacket

There are no comments on this title.

to post a comment.