Prof. Jensen's research is focused on the challenges in estimation and control associated with communication, sensing, and computation challenges in large-scale or infinite dimensional distributed systems. Specifically, she analyzes optimal control and fundamental system behaviors/limitations to improve methods in system and control design in the face of these challenges. Applications of interest include wide-area control of power networks, multi-agent systems, and soft-robotics.
keywords
distributed control, optimal control, distributed parameter systems, estimation, control of power networks, soft robotics
ECEN 3300 - Linear Systems
Primary Instructor
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Fall 2024 / Fall 2025
Characterization of linear time-invariant systems in time and frequency domains. Continuous time systems are analyzed using differential equations and Laplace and Fourier transforms. Discrete time systems are analyzed using difference equations, Z-transforms and discrete time Fourier transforms. Sampling and reconstruction of signals using the sampling theorem. Applications of linear systems include communications, signal processing, and control systems. Degree credit not granted for this course and ECEN 3301.
ECEN 5738 - Nonlinear Control Systems
Primary Instructor
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Spring 2024 / Spring 2025 / Spring 2026
Nonlinear systems and control. Introduction to nonlinear phenomena: multiple equilibria, limit cycles, bifurcations, complex dynamical behavior. Planar dynamical systems, analysis using phase plane techniques. Input-output analysis and stability. Passivity. Lyapunov stability theory. Feedback linearization. Exploration of examples and applications. Formerly ECEN 7438. Recommended prerequisite: knowledge in differential equations. Same as MCEN 5738. Degree credit not granted for this course and ASEN 6024.
