Maruthi T. Ravichandran
Ford Motor Company
19 Papers
124 Citations
Maruthi T. Ravichandran is an academic researcher from Ford Motor Company. The author has contributed to research in topics: Wireless sensor network & Computer science. The author has an hindex of 6, co-authored 15 publications. Previous affiliations of Maruthi T. Ravichandran include University of Michigan.
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Papers
Robust Stabilization of a Class of Underactuated Mechanical Systems Using Time Scaling and Lyapunov Redesign
TL;DR: In this paper, a controller-design methodology for a class of underactuated mechanical systems that are affected by parametric uncertainties and external disturbances is presented, where the perturbations due to parametric uncertainty are mismatched, whereas those caused by external disturbances are of the matched type.
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Robust Stabilization of a Class of Underactuated Mechanical Systems Using Time Scaling and
Maruthi T. Ravichandran,Arun D. Mahindrakar +1 more
- 01 Jan 2011
TL;DR: This paper presents a controller-design methodology for a class of underactuated mechanical systems that are affected by parametric uncertainties and external disturbances, and proves the nonexistence of a smooth control law for point-to-point stabilization of the mobile inverted pendulum.
86
Resilient monitoring systems: architecture, design, and application to boiler/turbine plant
TL;DR: The architecture developed consists of four layers: data quality assessment, process variable assessment, plant condition assessment, and sensor network adaptation; the measure of resiliency is quantified based on the Kullback-Leibler divergence and shown to be sufficiently high in all scenarios considered.
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Design and Evaluation of EV Drivetrain Clunk and Shuffle Management Control System
Maruthi T. Ravichandran,Jeffrey Allen Doering,Rajit Johri,Kevin Ray Ruybal +3 more
- 01 Jul 2020
TL;DR: This work develops a switching control system that switches between the contact mode and the backlash mode, based on an estimation of the drivetrain state, and shows that the performance of the proposed system compares favorably with that of a torque shaping strategy, which is applied in some of the current vehicles.
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