The book is written for an undergraduate course on the Feedback Control Systems. It provides comprehensive explanation of theory and practice of control system engineering. It elaborates various aspects of time domain and frequency domain analysis and design of control systems.
Each chapter starts with the background of the topic. Then it gives the conceptual knowledge about the topic dividing it in various sections and subsections. Each chapter provides the detailed explanation of the topic, practical examples and variety of solved problems. The explanations are given using very simple and lucid language. All the chapters are arranged in a specific sequence which helps to build the understanding of the subject in a logical fashion.
The book starts with explaining the various types of control systems. Then it explains how to obtain the mathematical models of various types of systems such as electrical, mechanical, thermal and liquid level systems. Then the book includes good coverage of the block diagram and signal flow graph methods of representing the various systems and the reduction methods to obtain simple system from the analysis point of view. The book further illustrates the steady state and transient analysis of control systems. The book covers the fundamental knowledge of controllers used in practice to optimize the performance of the systems. The book emphasizes the detailed analysis of second order systems as these systems are common in practice and higher order systems can be approximated as second order systems.
The book teaches the concept of stability and time domain stability analysis using Routh-Hurwitz method and root locus method. It further explains the fundamentals of frequency domain analysis of the systems including co-relation between time domain and frequency domain. The book gives very simple techniques for stability analysis of the systems in the frequency domain, using Bode plot, Polar plot and Nyquist plot methods. It also explores the concepts of compensation and design of the control systems in time domain and frequency domain.
The classical approach loses the importance of initial conditions in the systems. Thus, the book provides the detailed explanation of modern approach of analysis which is the state variable analysis of the systems including methods of finding the state transition matrix, solution of state equation and the concepts of controllability and observability.
The variety of solved examples is the feature of this book which helps to inculcate the knowledge of the design and analysis of the control systems in the students. The book explains the philosophy of the subject which makes the understanding of the concepts very clear and makes the subject more interesting.
After graduation, he started his career as Visiting Lecturer in Bharati Vidyapeeth's College of Engineering, Pune, and PVG's College of Engineering and Technology, Pune. Then he continued as a lecturer at Vishwakarma Institute of Technology (VIT), Pune.
While working in VIT, he introduced new concepts in teaching methods. He also introduced the concept of Quality Circle at the educational institute level. The Quality Circle, started by him at VIT, got recognition at the national level. While working in VIT, he conducted training programs in various industries like Bajaj Auto, Bharat Electronics, Cummins, etc. He developed many small models and projects in Electrical Department of VIT to teach engineering subjects concepts. At the same time, he published his first book on Feedback Control Systems which got an overwhelming response all over India.
After leaving VIT, he was Joint Director of Noble Institute of Computer Training, Pune. Due to his dedicated teaching and endless efforts, many students from this institute got admission to ranked U.S. universities with an assistantship.
After that, he started his coaching classes to impart thorough knowledge to the engineering students of various engineering subjects. Professor Bakshi simultaneously published many engineering books. The books written by him are recommended by multiple Indian and foreign universities in Electrical and Electronics Engineering. He has a total of 30 years of teaching and writing experience in the field of engineering.
Dr. Dongmei "Maggie" Chen joined The University of Texas at Austin in January 2009. Previously, she was a Senior Control Algorithms Engineer at General Motors Fuel Cell Activities Center. Dr. Chen received her Ph.D. in Mechanical Engineering from The University of Michigan in 2006. Her B.S. was in precision instruments and mechanology from Tsinghua University, Beijing, China. Dr. Chen's teaching and research interests are in the area of automatic control and dynamic systems. Her current research is focused on theories of optimal control, switching control, non-minimum phase systems and control, and reduced order modeling, with applications in automatic ground vehicles as well as energy systems, including integrated wind turbines, fuel cells, rechargeable batteries, energy storage flywheels, smart microgrids, and automatic drilling systems. Dr. Chen is a recipient of a 2011 National Science Foundation (NSF) CAREER award. She received a Best Paper in Session award at the 2012 ASME Dynamic Systems and Control Conference. She also received IEEE PES Prize Paper Awards in 2016. While in industry, Dr. Chen received a Powertrain Achievement Award in the Quest for Technical Excellence from General Motors and a company-wide nomination for Customer Driven Quality Award from The Ford Motor Company.Selected Publications
The book is written for an undergraduate course on the Modern Control Systems. It provides comprehensive explanation of state variable analysis of linear control systems and analysis of nonlinear control systems.
Each chapter starts with the background of the topic. Then it gives the conceptual knowledge about the topic dividing it in various sections and subsections. Each chapter provides the detailed explanation of the topic, practical examples and variety of solved problems. The book explains the philosophy of the subject which makes the understanding of the concepts very clear and makes the subject more interesting.
The book starts with explaining the concept of state variable and state model of linear control systems. Then it explains how to obtain the state models of various types of systems using phase variables, canonical variables, Jordan's canonical form and cascade programming. Then the book includes good coverage of the matrix algebra including eigen values, eigen vectors, modal matrix and diagonalization. It also includes the derivation of transfer function of the system from its state model. The book further explains the solution of state equations including the concept of state transition matrix. It also includes the various methods of obtaining the state transition matrix such as Laplace transform method, Power series method, Cayley Hamilton method and Similarity transformation method. It further includes the detailed discussion of controllability and observability of systems. It also provides the discussion of pole placement technique of system design.
The book teaches various types of nonlinearities and the nonlinear systems. The book covers the fundamental knowledge of analysis of nonlinear systems using phase plane method, isocline method and delta method. Finally, it explains stability analysis of nonlinear systems and Liapunov's stability analysis.
I spent 8-9 months interning at Mitsubishi Electric Research Labs [MERL] in Cambridge. There, I worked on larger scale control problems - the idea behind a flock of birds being able to fly in an agile fashion, without collisions. We have the same goal for fleets of autonomous cars. They don't want to sell autonomous cars to individuals. They want fleets. So I working on core research for control algorithms that would allow fleets to function safely.
Research wise, at Tech, I focused mainly on autonomous systems. It is a huge area with lots of sub areas, so I was really happy to work with Prof. Theodorou. He let me work with MERL, with students. He encouraged collaborations.
When I started my PhD. studies here, I was not certain of my goals, so my experience here helped me to shape those goals. As an engineer, it's not good enough to go in with the intention of contributing to technology; you have to know what you want to contribute and work hard at it. The atmosphere at AE helped me to shape exactly what I want to do - large-scale stochastic control - because I talked to different professors, different students, different researchers. I went to ME, to Math, to ECE. That's how I learned about what Dr. Theodorou was doing. And that changed everything.
Work with industry while researching, because academia has its own agenda - to push science- whereas industry has to rely on proven techniques. To give yourself the best exposure, try to do problems with whomever you can, on as many different topics as you are interested in. I had a great exposure at Tech. And I'd say that's what you should expect from a doctoral program, to give you more exposure. In the end, you will build depth as you find your niche.
Research Interests
Particulate process and product design, particle technology, granulation, granular flow, granular heat transfer, particle characterization, multiscale modeling
Research Interests
Ion-containing block copolymers; membrane-based separations; water purification and desalination; membrane-based carbon capture; stimuli-responsive nanocomposites; amphiphilic solution assemblies
Research Interests
Research group integrates biomaterial design with innovative manufacturing to control and direct stem cell behavior for tissue engineering and regenerative medicine applications.
Research Interests
3D printing polymer nanocomposites, nanostructured polymer films, covalent organic frameworks (nanoporous polymers), and sustainable polymers for improved chemical circularity.