System on Chip (SOC) having both digital and analog circuits has become increasingly prevalent in integrated circuit manufacturing industry. Electronic tests are classified as digital, analog and mixed signal. Current methodologies for the testing of digital circuits are well developed. In contrast, methodologies for the testing of analog circuits remain relatively underdeveloped due to the complex nature of analog signals. Compared to digital testing, analog testing lags far behind in methodologies and tools and therefore demands substantial research and development effort.

Fault Diagnosis of Analog Integrated Circuits is a textbook for advanced undergraduate and graduate level students as well as practicing engineers. The objective of this book is to study the testing and fault diagnosis of analog and analog part of mixed signal circuits. A background in analog integrated circuit, artificial neural network is desirable but not essential.

The text covers the testing and fault diagnosis of both bipolar and Metal Oxide Semiconductor (MOS) circuits. Fault model of the devices in analog domain has been introduced in the text. The test stimulus generations are also discussed in details. Experimental verification of some state of the art techniques has also been presented in the book. It also contains problems that can be used as quiz or homework. This book enables the reader to test an analog circuit that is implemented either in bipolar or MOS technology.

An ideal reference for graduate students and researchers within electrical, electronics and computer engineering, this book provides a rigorous, theoretical and mathematical analysis for the design of pipelined ADCs, along with detailed practical aspects of implementing it in very large-scale integration (VLSI). In each chapter a unique fault diagnosis technique for pipelined ADC has been proposed.

Bioreactors: Animal Cell Culture Control for Bioprocess Engineering presents the design, fabrication, and control of a new type of bioreactor meant especially for animal cell line culture. The new bioreactor, called the "see-saw bioreactor," is ideal for the growth of cells with a sensitive membrane. The see-saw bioreactor derives its name from its principle of operation in which liquid columns in either limb of the reactor alternately go up and down. The working volume of the reactor is small, to within 15 L. However, it can easily be scaled up for large production in volume of cell mass in the drug and pharmaceutical industries.The authors describe the principle of operation of the see-saw bioreactor and how to automatically control the bioprocess. They discuss different control strategies as well as the thorough experimental research they conducted on this prototype bioreactor in which they applied a time delay control for yield maximization.To give you a complete understanding of the design and development of the see-saw bioreactor, the authors cover the mathematical model they use to describe the kinetics of fermentation, the genetic algorithms used for deriving the optimal time trajectories of the bioprocess variables, and the corresponding control inputs for maximizing the product yield. One chapter is devoted to the application of time delay control. Following a description of the bioreactor’s working setup in the laboratory, the authors sum up their investigation and define the future scope of work in terms of design, control, and software sensors.

System on Chip (SOC) having both digital and analog circuits has become increasingly prevalent in integrated circuit manufacturing industry. Electronic tests are classified as digital, analog and mixed signal. Current methodologies for the testing of digital circuits are well developed. In contrast, methodologies for the testing of analog circuits remain relatively underdeveloped due to the complex nature of analog signals. Compared to digital testing, analog testing lags far behind in methodologies and tools and therefore demands substantial research and development effort.

Fault Diagnosis of Analog Integrated Circuits is a textbook for advanced undergraduate and graduate level students as well as practicing engineers. The objective of this book is to study the testing and fault diagnosis of analog and analog part of mixed signal circuits. A background in analog integrated circuit, artificial neural network is desirable but not essential.

The text covers the testing and fault diagnosis of both bipolar and Metal Oxide Semiconductor (MOS) circuits. Fault model of the devices in analog domain has been introduced in the text. The test stimulus generations are also discussed in details. Experimental verification of some state of the art techniques has also been presented in the book. It also contains problems that can be used as quiz or homework. This book enables the reader to test an analog circuit that is implemented either in bipolar or MOS technology.

An ideal reference for graduate students and researchers within electrical, electronics and computer engineering, this book provides a rigorous, theoretical and mathematical analysis for the design of pipelined ADCs, along with detailed practical aspects of implementing it in very large-scale integration (VLSI). In each chapter a unique fault diagnosis technique for pipelined ADC has been proposed.

Bioreactors: Animal Cell Culture Control for Bioprocess Engineering presents the design, fabrication, and control of a new type of bioreactor meant especially for animal cell line culture. The new bioreactor, called the "see-saw bioreactor," is ideal for the growth of cells with a sensitive membrane. The see-saw bioreactor derives its name from its principle of operation in which liquid columns in either limb of the reactor alternately go up and down. The working volume of the reactor is small, to within 15 L. However, it can easily be scaled up for large production in volume of cell mass in the drug and pharmaceutical industries.The authors describe the principle of operation of the see-saw bioreactor and how to automatically control the bioprocess. They discuss different control strategies as well as the thorough experimental research they conducted on this prototype bioreactor in which they applied a time delay control for yield maximization.To give you a complete understanding of the design and development of the see-saw bioreactor, the authors cover the mathematical model they use to describe the kinetics of fermentation, the genetic algorithms used for deriving the optimal time trajectories of the bioprocess variables, and the corresponding control inputs for maximizing the product yield. One chapter is devoted to the application of time delay control. Following a description of the bioreactor’s working setup in the laboratory, the authors sum up their investigation and define the future scope of work in terms of design, control, and software sensors.