Masayoshi Tomizuka

TL;DR: It is demonstrated that SCFS performs better than existing non convex optimization methods such as interior-point, active set and sequential quadratic programming, as it requires less computation time and converges faster.

TL;DR: The area of intelligent systems research as funded by the Civil and Mechanical Systems (CMS) Division of the National Science Foundation (NSF) is described, including the interdisciplinary initiative on Sensors and Sensor Networks and the Network for Earthquake Engineering Simulation (NEES).

TL;DR: A robust adaptive controller with guaranteed transient performance under a desired compensation adaptation law is developed for trajectory tracking control of robot manipulators in the presence of parametric uncertainties and external disturbances by combining the design methods of adaptive control and continuous sliding mode control.

TL;DR: In this paper, a nonlinear robust state feedback controller for discrete-time uncertain systems is proposed, where the uncertainties in the system must satisfy the matching condition, but only their bounds need to be known.

TL;DR: In this article, the authors focus on recent activities on automated highway systems at the California PATH (Automated Highway Systems Program) program, which was established by the California Department of Transportation (Caltrans) and the Institute of Transportation Studies (ITS) at the University of California at Berkeley to find solutions for California transportation problems.