Inductive Links: Design and Control

Related lectures (32)

Page 2 of 4

Introduces the Design of Experiments, emphasizing efficiency and interactions in R&D through historical context and practical examples.

Discusses optimizing object retrieval in cluttered environments using efficient stacking and destacking techniques.

Explores tools for optimizing energy integration and minimizing exergy losses in systems, aiding in reducing energy costs and enhancing efficiency.

Explores optimization methods, including unconstrained problems, linear programming, and heuristic approaches.

Explains the Runge-Kutta methods, particularly the explicit scheme of order 4 (ERK4), and how to optimize parameters for accuracy.

Explores error probability in wireless receivers and the challenges of ML detection.

Explores wireless power and data transmission to implanted systems, covering system architecture, coupling methods, and modulation techniques.

Covers the optimization with constraints, focusing on the Karush-Kuhn-Tucker (KKT) conditions.

Covers stochastic models for communications, focusing on queueing theory with an in-depth analysis of the M/G/1 queue.

Covers optimization methods, focusing on gradient methods and line search techniques.