Now showing items 1522-1541 of 1907

    • Rice University NanoJapan Program: Connecting US Undergraduates with Leading Japanese Nanotechnology Research Laboratories: National Science Foundation, Tokyo Regional Office 

      Kono, J.; Phillips, S.R.; Matherly, C.A. (2008-04-17)
      National Science Foundation, Tokyo Regional Office: Special Scientific Report #08-01. As international partnerships are becoming increasingly indispensible to solving major science and engineering problems, U.S. researchers ...
    • Risk and Fault Tolerance Analysis for Robotics and Manufacturing 

      Hamilton, Deirdre L.; Cavallaro, Joseph R.; Walker, Ian D. (1996-05-01)
      This paper describes a novel method for analyzing, within one framework, several important types of risk associated with robotics and manufacturing applications. We will build on the established technique of Fault Tree ...
    • Robot Fault Detection and Fault Tolerance: A Survey 

      Visinsky, Monica L.; Cavallaro, Joseph R.; Walker, Ian D. (1994-01-01)
      Fault tolerance is increasingly important for robots, especially those in remote or hazardous environments. Robots need the ability to effectively detect and tolerate internal failures in order to continue performing their ...
    • Robot Reliability Estimation Using Interval Methods 

      Carreras, Carlos; Walker, Ian D.; Nieto, Octavio; Cavallaro, Joseph R. (1999-02-24)
      Reliability is a critical issue for many robotic applications, where failures can be disastrous. Traditional reliability analysis algorithms depend on the algebraic manipulation of given input data (representing subsystem ...
    • Robot Reliability Through Fuzzy Markov Models 

      Leuschen, Martin L. (1997-04-20)
      In the past few years, new applications of robots have increased the importance of robotic reliability and fault tolerance. Standard approaches of reliability engineering rely on the probability model, which is often ...
    • Robot reliability through fuzzy Markov models 

      Leuschen, Martin Leslie (1997)
      In the past few years, new applications of robots have increased the importance of robotic reliability and fault tolerance. Standard approaches of reliability engineering rely on the probability model, which is often ...
    • Robot Reliability Through Fuzzy Markov Models 

      Leuschen, Martin L.; Walker, Ian D.; Cavallaro, Joseph R. (1998-01-01)
      In the past few years, new applications of robots have increased the importance of robotic reliability and fault tolerance. Standard approaches of reliability engineering rely on the probability model, which is often ...
    • Robot Reliability Using Fuzzy Fault Trees and Markov Models 

      Leuschen, Martin L.; Walker, Ian D.; Cavallaro, Joseph R. (1996-11-01)
      Robot reliability has become an increasingly important issue in the last few years, in part due to the increased application of robots in hazardous and unstructured environments. However, much of this work leads to complex ...
    • Robotic Fault Detection Using Nonlinear Analytical Redundancy 

      Leuschen, Martin L.; Cavallaro, Joseph R.; Walker, Ian D. (2002-05-01)
      In this paper we discuss the application of our recently developed nonlinear analytical redundancy (NLAR) fault detection technique to a two-degree of freedom robot manipulator. NLAR extends the traditional linear AR ...
    • Robotic Fault Tolerance: Algorithms and Architectures 

      Visinsky, Monica L.; Cavallaro, Joseph R.; Walker, Ian D. (1993-04-01)
      Fault tolerance is an essential factor in ensuring successful autonomous systems, especially for robots working in remote or hazardous environments. To avoid the cost and risk involved in sending humans into these environs ...
    • Robust continuous-time detection in linear process noise 

      Rao, Srinivasa Patibandla (1992)
      Linear processes are suitable for modeling the random received waveforms in a scattering channel, which represents radar, sonar and multipath communication channels. We address the continuous-time detection problem where ...
    • ROBUST CONTROL OF LINEAR SYSTEMS 

      STAATS, PRESTON WILLIAM, JR. (1974)
    • Robust Distributed Estimation in Sensor Networks using the Embedded Polygons Algorithm 

      Delouille, Veronique; Neelamani, Ramesh; Baraniuk, Richard G. (2004-04-01)
      We propose a new iterative distributed algorithm for linear minimum mean-squared-error (LMMSE) estimation in sensor networks whose measurements follow a Gaussian hidden Markov graphical model with cycles. The <i>embedded ...
    • Robust Distributed Estimation Using the Embedded Subgraphs Algorithm 

      Delouille, Veronique; Neelamani, Ramesh; Baraniuk, Richard G. (2006-08-01)
      We propose a new iterative, distributed approach for linear minimum mean-square-error (LMMSE) estimation in graphical models with cycles. The embedded subgraphs algorithm (ESA) decomposes a loopy graphical model into a ...
    • Robust Slope Region for Wideband CDMA With Multiple Antennas 

      Muharemovic, Tarik; Aazhang, Behnaam (2003-04-01)
      We analyze a low power, wideband CDMA system with multiple antennas. The joint "slope region" - of transmission rates at minimum energy per bit - is derived as a function of proportion between vanishing rates for multiple ...
    • Robust Solution of the Linear Servomechanism Problem 

      Staats, P.W.; Pearson, J.B. (1974-09-01)
      This paper furnishes a complete solution to the problem of designing robust controllers for linear servomechanisms. The results complete the work begun in [1] in that arbirary exogenous signals are included in the problem ...
    • Robust steady-state tracking 

      Sadeghi, Behnam (1996)
      The thesis solves the problem of finding an LTI controller that minimizes the steady-state tracking error of uncertain discrete-time systems. If a system is LTI, use of the "internal model principle" will assure that the ...
    • Robustness and Optimality in CSMA Wireless Networks 

      Nardelli, Bruno (2013-06-04)
      In today's widely diffused CSMA wireless networks, problems of coordination in the access to the channel by multiple transmitters can lead to unfair situations where some of the flows receive much of the network throughput ...
    • Robustness in Parameter Estimation 

      Papantoni-Kazakos, P. (1975-10-20)
      Due to vagueness in the definition of robustness, there has been no natural transition between robust and nonparametric parameter estimators. In this work, qualitative ideas first expressed by Hampel [1] are extended in ...
    • RSIM Reference Manual: Version 1.0 

      Pai, Vijay S.; Ranganathan, Parthasarathy; Adve, Sarita V. (1997-08-20)
      Simulation has emerged as an important method for evaluating new ideas in both uniprocessor and multiprocessor architecture. Compared to building real hardware, simulation provides at least two advantages. First it ...