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Michigan Engineering
Electrical Engineering and Computer Science Department

Computer Science
and Engineering

Bob and Betty Beyster Building
2260 Hayward Street
Ann Arbor, MI 48109-2121

Contact >CSE Intranet >

Electrical and
Computer Engineering

EECS Building
1301 Beal Avenue
Ann Arbor, MI 48109-2122

Contact >ECE Intranet >

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Events

Constrained Control: Contributions by Professor Elmer Gilbert and Recent Developments

Collision Free Navigation with Interacting, Non-Communicating Obstacles

A Decoupling Principle in Stochastic Optimal Control and Its Implications

Fast Online Reinforcement Learning Control using State-Space Dimensionality Reduction

Toward Telelocomotion: Human Sensorimotor Control of Contact-Rich Robot Dynamics

Eco-Mobility: Leveraging Connected and Automated Driving Technologies to Improve Energy Efficiency of the Vehicular and Transportation Systems

Passivity Based CPS Design for Autonomy

Utilizing Persistent Homology for Studying Time Series of Dynamical Systems

Applications of Data Sciences for Clinical Decision Support Systems: Challenges and Opportunities

Why Control Technology Is Powerful, Dangerous, and Arguably Anti-Scientific

Human-Computer Interaction in the Michigan Embedded Control Lab

Steering without Taking Over: A Means for Human-Machine Control Sharing

From Kinematic to Energetic Design and Control of Wearable Robots for Agile Human Locomotion

Let’s Walk and Talk: Co-Design of Mobility and Communications (and Sensing) for Ubiquitous Robots

Robustness in Data-Driven Control Design

Time-Delayed Control of Single-Input Single-Output Systems for Improved Stability Margins

Bridging the Gap Between Controls Theory and Practice

CANCELED: Smart Additive Manufacturing: A Modeling and Control Framework for Closing the Loop in 3D Printing

CANCELED: Towards a Rigorous Framework for Optimal Selection of Basis Functions in Feedforward Tracking Control – and Beyond

CANCELED: Seminar by Tryphon Georgiou

CANCELED: Seminar by Emanuele Garone

CANCELED: Seminar by Birgit Vogel-Heuser

CANCELED: Seminar by Bin Hu

Bridging the Cap between Optimal and Real-Time Safe Control: Making Autonomous Vehicles a Reality

Enabling Human-Aware Automation: A Dynamical Systems Perspective on Human Cognition

Planning, Control, and Test of Connected Automated Vehicles

Exergy-wise Control of Energy Systems: A Promising Paradigm to Enable Maximum Energy Conversion Efficiency in Systems

Safety Verification and Conflict Analysis for Connected Automated Vehicles

Optimal Time Trajectory with Provable Safety for Connected and Automated Vehicles

CANCELED: An Approach to Shared Control for Automated Driving

Moving Bionic Legs from the Lab to the Real World

Deep Neural Networks, Universal Approximation, and Geometric Control

New Approaches to Distributed Hypothesis Testing and State Estimation in Large-Scale Networks

Safe Real-World Autonomy in Uncertain and Unstructured Environments

Control Theory Meets Genetic Circuit Engineering

Identifying and Exploiting Structure in Process Systems Optimization and Model Predictive Control

Algorithmic Foundations of Resilient Collaborative Autonomy: From Non-Convex Optimization to Perception and Control

Real-time Distributed Decision Making in Networked Systems

Control Co-Design: A Step Change in Active Engineering System Design Capability

CANCELED: Learning Models and Constraints with Limited Data

Convergence Research Addressing Societal Challenges: The Central Role of Systems and Control

More Versatile Aerial Robots — Safer and Longer Flights

Climate Change Mitigation and Adaptation: Role for Systems and Control

Learning to Price Demand in Safety-Critical Infrastructure Systems

Reconstruction of Interconnectedness in Networks of Dynamical Systems Based on Passive and Partial Observations

Safe Learning in Robotics

Analysis of Policy Gradient Descent for Control: Global Optimality via Convex Parameterization

Safe and Efficient Reinforcement Learning for Power System Control

The Speed–Robustness Trade-Off for Iterative Optimization Algorithms

An Approach to Shared Control for Automated Driving

CANCELED: Control Engineering for Equity in Social Systems

Learning Models and Constraints with Limited Data

Optimal Estimation with Sensor Delay Yields Smith-like Predictor

Generation of Wheel Lockup Attacks on Nonlinear Dynamics of Vehicle Traction

When can hybrid systems operate safely?

Continuous-Time Channel Gain Control for Minimum-Information Kalman-Bucy Filtering

Hierarchical Control for Cyber-Physical Systems and Applications to Traffic Management

Analysis and Control of Functional Brain Networks

Analysis of the Optimization Landscape of Linear Quadratic Gaussian (LQG) Control

Novel Regularization Techniques for Solving Practical Optimal Control Problems Using Indirect Optimization Methods

Data-Driven Dynamic Ambiguity Sets: Precision Tradeoffs under Noisy Measurements

Fast and Accurate Battery Biometrics: How to Get Them through Design of Testing?

A Holistic Approach to Lithium-Ion Battery Management System Design

Identification, Prediction, and Control of Disruptions in Airline Networks

Self-Powered Linear Feedback Control: Necessary and Sufficient Conditions

A unifying, data-driven view of locomotion

Battery Diagnostics and Prognostics

The online convex optimization approach to control

Why would one want a multi-agent system unstable

New Complexities in new Aviation: UTM, UAM, and RAM

Control co-Design: Challenges and Opportunities for Ocean Wave Energy Conversion

Understanding the Utility of Haptic Feedback in Telerobotic Devices

Control barrier functions and neural networks for handling risk and uncertainty in autonomous systems

Motion in the Ocean – Revolutionizing Marine Hydrokinetic Energy Harvesting Through the Optimal Periodic Motion Control of Underwater Kites

Cancelled: Control seminar by Steve Brunton

A Dynamic Obfuscation Framework for Privacy and Utility

Cancelled: Systems modeling, analysis, and control of flow interactions to improve performance in aerodynamic systems

Progress in Symmetry Preserving Robot Control

How Do We Learn to Use Learning in Manufacturing Systems