Control of Nonlinear Differential Algebraic Equation Systems with Applications to Chemical Processes
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A01=Aditya Kumar
A01=Prodromos Daoutidis
advanced engineering mathematics
Algebraic Constraints
Author_Aditya Kumar
Author_Prodromos Daoutidis
Category=PBKJ
chemical processes
Controller Design Methodology
DAE System
disturbance inputs
Dynamic Feedforward
Dynamic State Feedback
Dynamic State Feedback Controller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
Fast Subsystem
Feedback Controller Synthesis
graduate level control systems
Inter-phase Mass Transfer
Linearly Independent
Locally Asymptotically Stable
mathematical modeling techniques
Matrix Pencil
Molar Flow Rate
nonlinear DAE control strategies
nonlinear DAE systems
nonlinear system stabilization
Ode Model
Ode System
ordinary differential equations
process control theory
QSS Condition
reactor network optimization
Reduced Order Dynamics
Reduced Order Representation
Singular Perturbation Parameter
Singularly Perturbed
singularly perturbed systems
State Feedback Controller
State Space Realization
Static State Feedback
Static State Feedback Control Law
Static State Feedback Controllers
Product details
- ISBN 9781138417564
- Weight: 480g
- Dimensions: 156 x 234mm
- Publication Date: 28 Jun 2018
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Hardback
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The feedback control of nonlinear differential and algebraic equation systems (DAEs) is a relatively new subject. Developing steadily over the last few years, it has generated growing interest inspired by its engineering applications and by advances in the feedback control of nonlinear ordinary differential equations (ODEs). This book-the first of its kind-introduces the reader to the inherent characteristics of nonlinear DAE systems and the methods used to address their control, then discusses the significance of DAE systems to the modeling and control of chemical processes. Within a unified framework, Control of Nonlinear Differential Algebraic Equation Systems presents recent results on the stabilization, output tracking, and disturbance elimination for a large class of nonlinear DAE systems.
Written at a basic mathematical level-assuming some familiarity with analysis and control of nonlinear ODEs-the authors focus on continuous-time systems of differential and algebraic equations in semi-explicit form. Beginning with background material about DAE systems and their differences from ODE systems, the book discusses generic classes of chemical processes, feedback control of regular and non-regular DAE systems, control of systems with disturbance inputs, the connection of the DAE systems considered with singularly perturbed systems, and finally offers examples that illustrate the application of control methods and the advantages of using high-index DAE models as the basis for controller design.
Mathematicians and engineers will find that this book provides unique, timely results that also clearly documents the relevance of DAE systems to chemical processes.
University of Minnesota. University of Minnesota.
