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3 matches in All Departments
Linear and Non-Linear System Theory focuses on the basics of linear
and non-linear systems, optimal control and optimal estimation with
an objective to understand the basics of state space approach
linear and non-linear systems and its analysis thereof. Divided
into eight chapters, materials cover an introduction to the
advanced topics in the field of linear and non-linear systems,
optimal control and estimation supported by mathematical tools,
detailed case studies and numerical and exercise problems. This
book is aimed at senior undergraduate and graduate students in
electrical, instrumentation, electronics, chemical, control
engineering and other allied branches of engineering. Features
Covers both linear and non-linear system theory Explores state
feedback control and state estimator concepts Discusses non-linear
systems and phase plane analysis Includes non-linear system
stability and bifurcation behaviour Elaborates optimal control and
estimation
Linear and Non-Linear System Theory focuses on the basics of linear
and non-linear systems, optimal control and optimal estimation with
an objective to understand the basics of state space approach
linear and non-linear systems and its analysis thereof. Divided
into eight chapters, materials cover an introduction to the
advanced topics in the field of linear and non-linear systems,
optimal control and estimation supported by mathematical tools,
detailed case studies and numerical and exercise problems. This
book is aimed at senior undergraduate and graduate students in
electrical, instrumentation, electronics, chemical, control
engineering and other allied branches of engineering. Features
Covers both linear and non-linear system theory Explores state
feedback control and state estimator concepts Discusses non-linear
systems and phase plane analysis Includes non-linear system
stability and bifurcation behaviour Elaborates optimal control and
estimation
An Introduction to Process Modelling Identification and Control for
Engineers offers a professional and modern view on process
modeling, system identification and automatic control of physical
and industrial processes. This is the first comprehensive text
augmented with practical examples and their solution with MATLAB
code to cater the needs of UG/PG students of Chemical
Engineering/Control & Instrumentation Engineering/Electronics
& Instrumentation/Electronics & Communication Engineering.
Modeling of physical systems based on first principle with Material
and energy balances, Formulation of transfer functions, Model
structure with parametric identification and Closed-loop control
methodologies supplemented by software, question and answers along
with exercise problems are presented in this book.Associated
mathematical tools (leading to both analytical and numerical
solution) to solve models involving ODE/PDE, optimization tools,
transient behavior of processes, transfer functions, feedback
control, PID controller, stability analysis, frequency response,
auto tuning using relay feedback, advanced process control, PID
enhancement to improve closed-loop response resulting into
set-point tracking as well as disturbance rejection, set point
filters have been covered to address modern process control issues
in process industries. This text explains auto tuning of PID
controllers and related analysis for process identification for the
first time using relay feedback by experts. Methodologies to
identify process parameters from closed-loop responses are the
added features of this book. Case studies of process control
systems on leather will also be helpful for Leather technology
students. Specific case studies on CSTR, Heat exchanger,
Distillation column, Dryer, Boiler, Crystallizer, Evaporator have
made the text helpful for students, faculties and professionals.
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