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Shankar Sastry


Click on the titles below to find US government-authored or -collected reports written by Shankar Sastry

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Hierarchical System for Multiple-Agent Scenarios 01 JAN 2002 9 pages
Authors:  H. J. Kim; David H. Shim; Shahid Rashid; Shankar Sastry; CALIFORNIA UNIV BERKELEY ELECTRONICS RESEARCH LAB
The full text of this report is available for sale.This paper presents a hierarchical architecture for the coordination and control of autonomous agents performing intelligent team operations. Each team consisting of multiple aerial and ground vehicles, uses a coordinated strategy through communication via a wireless network. As an exemplary case study, a pursuit-evasion scenario is developed. This paper also introduces the experimental setup for aerial and ground-based autonomous agents. The proposed scheme is currently under development for near future ...


Hybrid Systems: Computation and Control 17 FEB 1999
Authors:  Thomas A. Henzinger; Shankar Sastry; CALIFORNIA UNIV BERKELEY SPONSORED PROJECTS OFFICE
The full text of this report is not available and therefore is not for sale. This information is provided for reference purposes only.This volume contains the proceedings of the First International Workshop on Hybrid Systems: Computation and Control, HSCC'98, organized April 13-15, 1998, at the University of California, Berkeley. The focus of the workshop is on mathematical methods for the rigorous and systematic design and analysis of hybrid systems. A hybrid system consists of digital devices that interact with analog environments. Driven by rapid advances in digital ...


The Effects of Small Noise on Implicitly Defined Non-Linear Dynamical Systems SEP 1982
Authors:  Shankar Sastry; MASSACHUSETTS INST OF TECH CAMBRIDGE LAB FOR INFORMATION AND DECISION SYSTEMS
The full text of this report is not available and therefore is not for sale. This information is provided for reference purposes only.The dynamics of a large class of non-linear systems are described implicitly, i.e., as a combination of algebraic and differential equations. These dynamics admit of jump behavior. We extend the deterministic theory to a stochastic theory since: (1) the deterministic theory is restrictive; (2) the macroscopic deterministic description of dynamics frequently arises from an aggregation of microscopically fluctuating dynamics; and (3) to robustify the deterministic one in the limit that ...


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