Mathematics of Failures in Complex Systems: Characterization and Mitigation of Service Failures in Complex Dynamic Systems

Abstract

Objectives: The goal of this MURI project is to enhance dependability of complex engineering systems that include both human-operated and unmanned machinery. It focuses on pervasive fault tolerance based on the emerging information. The specific objective are: 1. Early detection of small anomalies in nonlinear and nonstationary dynamical systems. 2. Analysis and synthesis of robust decision and control systems to restrict the system behavior within desired specifications. 3. Development of high-fidelity test apparatuses and experimental validation of theoretical results. Results: Principles of Automata Theory and Statistical Signal Processing are applied to retrieve relevant information for failure prognosis and decision and control of complex dynamical systems. Experimental research has been conducted to validate the theoretical results at the following three laboratories: * Electromechanical Systems * Networked Robotic Systems * Engineering Systems Simulation.

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Document Details

Document Type
Technical Report
Publication Date
Jun 30, 2007
Accession Number
ADA469833

Entities

People

  • Asok Ray

Organizations

  • Pennsylvania State University

Tags

Communities of Interest

  • Air Platforms
  • C4I
  • Cyber
  • Energy and Power Technologies
  • Human Systems
  • Space

DTIC Thesaurus Topics

  • Automata Theory
  • Computational Science
  • Computer Programming
  • Control Systems
  • Control Systems Engineering
  • Detectors
  • Engineers
  • Information Processing
  • Information Science
  • Mechanics
  • Network Science
  • Pattern Recognition
  • Probabilistic Models
  • Random Variables
  • Reliability
  • Sensor Networks
  • Signal Processing

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Distributed Systems and Data Platform Development
  • Software Engineering.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • Autonomy
  • Autonomy - Autonomous System Control
  • Microelectronics
  • Microelectronics - Microelectromechanical Systems