Dr. Kanellakopoulos is a technology leader with 25+ years of experience in R&D and engineering management in both academia and industry, and a seasoned expert witness with a perfect success record.
He has designed and built telecom products such as DSL and Carrier Ethernet hardware and software, as well as a prototype fully automated electric vehicle. He has conducted applied research in adaptive control of nonlinear systems, with applications to automotive driver assistance systems (adaptive cruise control, blind-spot monitoring, vehicle collision avoidance) and active suspensions. He has significant experience with international telecommunication standards (ITU-T SG15/Q4), and has directed collaborative projects with several automotive/truck manufacturers and vendors (Ford, Mercedes-Benz, DaimlerChrysler, Freightliner, Gentex, Visteon).
He has significant experience as an expert witness in patent infringement and product liability cases in the automotive and telecommunication areas; 100% of his cases resulted in a win or a very favorable settlement for his clients. In 2017, he was the lead expert witness in a case that resulted in a $25M jury award for his clients; this decision was later upheld on appeal. His deep technical expertise allows him to analyze patents and products in detail, and explain clearly (in expert reports, depositions, and court testimony) the main issues that the judge and jury need to internalize in order to comprehend the essence of the case. His extensive educational experience allows him to help judges and jurors understand the topic they are dealing with, instead of confusing them with unnecessary technical details.
After all, it takes excellent teaching skills and a deep understanding of a complex technical concept to convey the essence of that concept to non-experts without talking down to them.
Using a pedagogical style along with detailed proofs and illustrative examples, this book opens a view to the largely unexplored area of nonlinear systems with uncertainties. The focus is on adaptive nonlinear control results introduced with the new recursive design methodology--adaptive backstepping. Describes basic tools for nonadaptive backstepping design with state and output feedbacks.
Abstract: A systematic procedure for the design of adaptive regulation and tracking schemes for a class of feedback linearizable nonlinear systems is developed. The coordinate-free geometric conditions, which characterize this class of systems, do not constrain the growth of the nonlinearities. Instead, they require that the nonlinear system be transformable into the so-called parametric-pure feedback form...