Adaptive and Cognitive Dynamic Systems: Learning, Signal Processing, Communications, and Control
Series Editor: Simon Haykin
McMaster University, Ontario, Canada
This series of books, updated on its previous title Adaptive and Learning Systems: Signal Processing, Communications, and Control, has been renamed to make room for cognition, inspired by the human brain.
To be more specific, cognition is a powerful new way of thinking about a variety of applications, exemplified by Cognitive Radio, Cognitive Control, and Cognitive Radar, just to name a few. It has not only enriched pervasive disciplines such as leaning machines, signal processing, communications, and control, but also it has provided the means to bring to the table new applications and performance improvements not achievable by traditional means.
Another topic that is becoming increasingly important is networks. In this context, adaptive networks and cognitive networks are featuring in various applications that involve the environment, radar, radio, the power grid, etc.
Speaking of Cognitive Dynamic Systems, here again inspired by the brain, we may build on such systems and think of them as platforms for a new generation of Intelligent Decision-making Computers that provide the machinery for supervising networks that are challenging, exemplified by the following three applications :
- Cognitive radio networks embedded into the world of wireless communication providers for improved radio spectrum utilization.
- Cognitive power-grid networks for improved utilization of traditional sources of energy and new sources involving photovoltaic systems for harnessing radiation from the sun, and powerful turbines for harnessing the power of winds.
- Cognitive radar networks for national security within as well as borders.
To summarize, what we have described here is a new generation of ideas, and brand new applications that involve learning theory, signal processing, information processing, communication theory, control theory, and Monte Carlo simulations. Correspondingly, the books written under this updated series embodying the titles of Adaptive and Cognitive Dynamic Systems, they will be invaluable for teaching new graduate courses in universities and also for engineering practitioners.