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meyer p interval reachability analysis control verification 2021

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Textbook in PDF format This brief presents a suite of computationally efficient methods for bounding trajectories of dynamical systems with multi-dimensional intervals, or ‘boxes’. It explains the importance of bounding trajectories for evaluating the robustness of systems in the face of parametric uncertainty, and for verification or control synthesis problems with respect to safety and reachability properties. The methods presented make use of: interval analysis;monotonicity theory;contraction theory; anddata-driven techniques that sample trajectories. The methods are implemented in an accompanying open-source Toolbox for Interval Reachability Analysis. This brief provides a tutorial description of each method, focusing on the requirements and trade-offs relevant to the user, requiring only basic background on dynamical systems. The second part of the brief describes applications of interval reachability analysis. This makesthe brief of interest to a wide range of academic researchers, graduate students, and practising engineers in the field of control and verification. Preface Acknowledgements Introduction Reachability Methods Interval Analysis Monotonicity Mixed Monotonicity Sampled-Data Mixed Monotonicity Growth Bounds Sampling-Based Methods Applications Safety and Reachability Verification Measure of Robustness Against Parameter Uncertainty Abstraction-Based Control Synthesis Appendix A Obtaining Sign-Stability by Shifting a Bounded Variable Appendix B TIRA Toolbox for Interval Reachability Analysis

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Meyer P. Interval Reachability Analysis...for Control and Verification 2021.pdf 2.9 MB

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meyer p interval reachability analysis control verification 2021

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