This book comprises select proceedings of the National Conference on Control, Signal Processing, Energy and Power Systems (CSPES 2018). The book covers topics on both theoretical control systems and their applications across engineering domains such as automatic control, robotics, and adaptive controller design. It discusses several signal processing domains such as image, speech, biomedical signal processing and their applications in IOT, control, robotics, power and energy systems. The book emphasizes both conventional and non-conventional energy, environment, and green processes as related to energy and power systems engineering. The contents of this book will prove to be useful for students, researchers, academics, and professionals.

This book comprises select proceedings of the National Conference on Control, Signal Processing, Energy and Power Systems (CSPES 2018). The book covers topics on both theoretical control systems and their applications across engineering domains such as automatic control, robotics, and adaptive controller design. It discusses several signal processing domains such as image, speech, biomedical signal processing and their applications in IOT, control, robotics, power and energy systems. The book emphasizes both conventional and non-conventional energy, environment, and green processes as related to energy and power systems engineering. The contents of this book will prove to be useful for students, researchers, academics, and professionals.

Water, nature's gift to mankind is not unlimited and free forever. World water resources are fast diminishing. It is also having its effect on the agricultural product yield. Water being a limited resource, its efficient use to increase the crop yield is basic to the survival of the ever increasing population of the world. The book mainly deals with optimizing all the related parameters like water flow, energy input and the cost of the development of the equipments to be used for irrigation to obtain good quality and quantity of agricultural yield.

Physical phenomena exhibit time-varying behaviour for number of reasons, mainly due to the variation of internal and external operating conditions. There exists large number of really challenging applications of linear time-varying system identification in different areas. For instance, telecommunications, signal processing and automatic control are some of the areas of applications where linear time-varying system identification has been extensively used. We find tremendous applications of system identification and modeling in the fields like chemical process, socioeconomic system, electric systems, hydrology, aeronautics, seismology, ecology, transportation, mechanical, structural engineering, life sciences and many more. In this book, different approaches for the identification of linear time-varying systems such as optimized forgetting factor approach, Kalman filter approach, combination of basis function and forgetting factor approach, and wavelet based approach have been presented.