Best Reference Books – Adaptive and Learning Control

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We have compiled a list of Best Reference Books on Adaptive and Learning Control Subject. These books are used by students of top universities, institutes and colleges.

Here is the full list of best reference books on Adaptive and Learning Control.

We have put a lot of effort into researching the best books for reference on this subject and came out with a recommended list of best books. The table below contains a review of these books and links to the Amazon website to directly purchase these books. As an Amazon Associate, we earn from qualifying purchases, but this does not impact our reviews, comparisons, and listing of these books; the table serves as a ready reckoner list of these best books.

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1. “Nonlinear and Adaptive Control Design” by Miroslav Krstic and Petar V Kokotovic
2. “Independent Component Analysis” by Aapo Hyvärinen and Juha Karhunen
3. “Statistical Learning Theory” by Vladimir N Vapnik
4. “Advanced Discrete-Time Control” by Khalid Abidi and Jianxin Xu
5. “Intelligent Robotics and Applications” by Naoyuki Kubota and Kazuo Kiguchi
6. “Advanced Control of Piezoelectric Micro-/Nano-Positioning Systems (Advances in Industrial Control)” by Kok Kiong Tan and Qingsong Xu
7. “Learning in Embedded Systems” by Leslie Pack Kaelbling
8. “Software Engineering and Formal Methods” by Bernhard Rumpe and Radu Calinescu
9. “Adaptive and Natural Computing Algorithms” by Andrej Dobnikar and Uroš Lotric
10. “Radio Resource Management in Multi–Tier Cellular Wireless Networks” by Ekram Hossain and Long Bao Le

People who are searching for Free downloads of books and free pdf copies of these books – “Nonlinear and Adaptive Control Design” by Miroslav Krstic and Petar V Kokotovic, “Independent Component Analysis” by Aapo Hyvärinen and Juha Karhunen, “Statistical Learning Theory” by Vladimir N Vapnik, “Advanced Discrete-Time Control” by Khalid Abidi and Jianxin Xu, “Intelligent Robotics and Applications” by Naoyuki Kubota and Kazuo Kiguchi, “Intelligent Robotics and Applications” by Naoyuki Kubota and Kazuo Kiguchi, “Learning in Embedded Systems” by Leslie Pack Kaelbling, “Software Engineering and Formal Methods” by Bernhard Rumpe and Radu Calinescu, “Adaptive and Natural Computing Algorithms” by Andrej Dobnikar and Uroš Lotric, “Radio Resource Management in Multi–Tier Cellular Wireless Networks” by Ekram Hossain and Long Bao Le – we would like to mention that we don’t have free downloadable pdf copies of these good books and one should look for free pdf copies from these Authors only if they have explicitly made it free to download and read them.

We have created a collection of best reference books on “Adaptive and Learning Control” so that one can readily see the list of top books on “Adaptive and Learning Control” and buy the books either online or offline.

If any more book needs to be added to the list of best books on Adaptive and Learning Control Subject, please let us know.

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Sanfoundry Global Education & Learning Series – Best Reference Books!

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Manish Bhojasia, a technology veteran with 20+ years @ Cisco & Wipro, is Founder and CTO at Sanfoundry. He is Linux Kernel Developer & SAN Architect and is passionate about competency developments in these areas. He lives in Bangalore and delivers focused training sessions to IT professionals in Linux Kernel, Linux Debugging, Linux Device Drivers, Linux Networking, Linux Storage, Advanced C Programming, SAN Storage Technologies, SCSI Internals & Storage Protocols such as iSCSI & Fiber Channel. Stay connected with him @ LinkedIn