Laboratory of Intelligent Networked Systems and Robotics

 

Nonlinear Systems (ECE 6103)	The objective of the course is to introduce students to the rich world of nonlinear systems and to understand the concepts of equilibrium, bifurcation, stability, and control. Second-order Systems. Phase Portraits. Multiple Equilibria. Limit Cycles. Bifurcation. Chaos.  Existence and Uniqueness. Lyapunov Stability Notion. Invariance Principle. Linearization. Nonautonomous Systems. Linear Time Varying Systems. Input-output Stability. L-stability of state models. Passivity. Absolute stability. Circle criteria. Popov criteria. The Describing Function Method. Region of Attraction. Stability of Periodic Solutions. Stabilization via Linearization. Integral Control. Gain Scheduling. Feedback Linearization. State Feedback Control. The prerequisite for this course is ECE 5101.
Signals and Systems (ECE 3101)	Representation of signals in time and frequency domains. Fourier series. Fourier and Laplace transform methods for analysis of linear systems. Introduction to state space models. Introduction to sampling theory. Discrete-time systems analysis via z transforms. The prerequisites for this course are ECE 2001W-Electrical Circuits or ECE 2608– Fundamentals of Circuit Analysis or 3002-Electrical and Computer Engineering Principles. For course materials please visit Husky CT and login using  net id and password.
Systems Laboratory (ECE 4122)	The Systems and Controls laboratory is primarily meant for junior and senior level undergraduate students. The laboratory includes various experiments related to controller design and implementation for different engineering applications. The course requires prior knowledge on basic Signals and System Theory, Linear Control Theory, State Space Representations, Transfer Functions, Fourier and Laplace Transforms, and Matlab. The prerequisites for this course are ECE 3101– Signals and Systems, ECE 3111– Systems Analysis and ECE 3211– Power Electronics.
Introduction to Robotics (ECE 3161)	The course will cover various aspects of robotics and intelligent systems. Topics include robot modeling, rigid motions and homogeneous transformations, forward and inverse kinematics, sensing, obstacle avoidance, localization, motion path planning, trajectory generation, introduction to machine learning, and decision-making. The prerequisites for this course is ECE 3101 Signals and Systems or a similar course offered in another department.