Modeling, Design, and Simulation of Systems with Uncertainties

To describe the true behavior of most real-world systems with sufficient accuracy, engineers have to overcome difficulties arising from their lack of knowledge about certain parts of a process or from the impossibility of characterizing it with absolute certainty. Depending on the application at han...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Rauh, Andreas (Editor), Auer, Ekaterina (Editor)
Format: Electronic eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011.
Series:Mathematical Engineering ; 3
Subjects:
Online Access:Full Text via HEAL-Link
Table of Contents:
  • Part I Theoretic Background and Software Implementation Implementing a Rigorous ODE Solver Through Literate Programming
  • A New Method for Inner Estimation of Solution Sets to Interval Linear Systems
  • Structural Analysis for the Design of Reliable Controllers and State Estimators for Continuous-Time Dynamical Systems with Uncertainties
  • Analyzing Reachability of Linear Dynamic Systems with Parametric Uncertainties
  • Robustness Comparison of Tracking Controllers Using Verified Integration
  • Probabilistic Set-Membership State Estimator
  • Verified Global Optimization for Estimating the Parameters of Nonlinear Models
  • Optimal Control of Induction Heating: Theory and Application
  • Coherent Upper and Lower Conditional Previsions Defined by Hausdorff Outer and Inner Measures
  • Part II Applications: Uncertainties in Engineering Two Approaches for Guaranteed State Estimation of Nonlinear Continuous-Time Models
  • Quantifying Spacecraft Failure in an Uncertain Environment: the Case of Jupiter Europa Orbiter
  • Robust State and Parameter Estimation for Nonlinear Continuous-Time Systems in a Set-Membership Context
  • Nonlinear Adaptive Control of a Bioprocess Model with Unknown Kinetics
  • Verified Analysis of a Model for Stance Stabilization
  • Adaptive Control Strategies in Heat Transfer Problems with Parameter Uncertainties Based on a Projective Approach
  • State and Disturbance Estimation for Robust Control of Fast Flexible Rack Feeders
  • Notation.