- Date: July 24, 2012
Where: International Journal of Robust and Nonlinear Control
MERL Contact: Stefano Di Cairano
Research Area: Control
Brief - The article "Model Predictive Control Approach for Guidance of Spacecraft Rendezvous and Proximity Maneuvering" by Di Cairano, S., Park, H. and Kolmanovsky, I. was published in International Journal of Robust and Nonlinear Control.
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- Date & Time: Monday, July 16, 2012; 2:00 PM
Speaker: Dr. Karl Iagnemma, Director, MIT Robotic Mobility Group
MERL Host: Stefano Di Cairano Abstract - Operator error is a significant factor in a majority of manned and unmanned vehicle accidents. In this talk, a framework for semi-autonomous vehicle accident avoidance will be presented that has been shown to effectively mitigate collisions caused by operator error. The framework analyzes sensor data (from vision and/or LIDAR data) to identify "no go" regions in the environment, and automatically synthesize constraints on vehicle position. An optimal trajectory and associated control inputs are then found via linear or nonlinear model predictive control. The "threat" to the vehicle is quantified from various metrics computed over the optimal trajectory. A number of approaches for arbitrating between operator and control system authority, based on the predicted threat, will be discussed. Extensive simulation and experimental testing will be described for both manned and unmanned scenarios. Future directions in threat assessment and semi-autonomous control, based on the integration of vision-based sensing and active steering control, will also be discussed.
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- Date: June 27, 2012
Where: American Control Conference (ACC)
MERL Contacts: Stefano Di Cairano; Scott A. Bortoff Brief - The papers "Further Developments and Applications of Network Reference Governor for Constrained Systems" by Di Cairano, S. and Kolmanovsky, I.V. and "Load Positioning in the Presence of Base Vibrations" by Shilpiekandula, V., Bortoff, S.A., Barnwell, J.C. and El Rifai, K. were presented at the American Control Conference (ACC).
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- Date & Time: Monday, June 25, 2012; 10:30 AM
Speaker: Prof. Toshiyuki Ohtsuka, Osaka University
MERL Host: Stefano Di Cairano Abstract - In this talk, a real-time algorithm for nonlinear model predictive control and its applications will be introduced. The continuation method is combined with an efficient linear solver GMRES to trace the time-dependent optimal solution without iterative searches. Applications of the algorithm include position control of an underactuated hovercraft, route tracking of a ship with redundant actuators, and path generation for an automobile. Automatic code generation by symbolic computation and other related topics will also be introduced.
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- Date & Time: Friday, March 16, 2012; 10:00 AM
Speaker: Prof. Francesco Borrelli, UC Berkeley
MERL Host: Stefano Di Cairano Abstract - Forecasts will play an increasingly important role in the next generation of autonomous and semi-autonomous systems. In nominal conditions, predictions of system dynamics, human behavior and environmental envelope can be used by the control algorithm to improve safety and performance of the resulting system. However, in practice, constraint satisfaction, performance guarantees and real-time computation are challenged by the (1) growing complexity of the engineered system, (2) uncertainty in the human/machine interaction and (3) uncertainty in the environment where the system operates.
In this talk I will present the theory and tools that we have developed over the past ten years for the systematic design of predictive controllers for uncertain linear and nonlinear systems. I will first provide an overview of our theoretical efforts. Then, I will focus on our recent results in addressing constraint satisfaction and real-time computation in nonlinear systems and large-scale networked systems. Throughout the talk I will use two applications to motivate our research and show the benefits of the proposed techniques: Safe Autonomous Cars and Green Intelligent Buildings.
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