776,953 research outputs found
A Vision of Collaborative Verification-Driven Engineering of Hybrid Systems
Abstract. Hybrid systems with both discrete and continuous dynamics are an important model for real-world physical systems. The key challenge is how to ensure their correct functioning w.r.t. safety requirements. Promising techniques to ensure safety seem to be model-driven engineering to develop hybrid systems in a well-defined and traceable manner, and formal verification to prove their correctness. Their combination forms the vision of verification-driven engineering. Despite the remarkable progress in automating formal verification of hybrid systems, the construction of proofs of complex systems often requires significant human guidance, since hybrid systems verification tools solve undecidable problems. It is thus not uncommon for verification teams to consist of many players with diverse expertise. This paper introduces a verification-driven engineering toolset that extends our previous work on hybrid and arithmetic verification with tools for (i) modeling hybrid systems, (ii) exchanging and comparing models and proofs, and (iii) managing verification tasks. This toolset makes it easier to tackle large-scale verification tasks.
Collaborative Verification-Driven Engineering of Hybrid Systems
Hybrid systems with both discrete and continuous dynamics are an important
model for real-world cyber-physical systems. The key challenge is to ensure
their correct functioning w.r.t. safety requirements. Promising techniques to
ensure safety seem to be model-driven engineering to develop hybrid systems in
a well-defined and traceable manner, and formal verification to prove their
correctness. Their combination forms the vision of verification-driven
engineering. Often, hybrid systems are rather complex in that they require
expertise from many domains (e.g., robotics, control systems, computer science,
software engineering, and mechanical engineering). Moreover, despite the
remarkable progress in automating formal verification of hybrid systems, the
construction of proofs of complex systems often requires nontrivial human
guidance, since hybrid systems verification tools solve undecidable problems.
It is, thus, not uncommon for development and verification teams to consist of
many players with diverse expertise. This paper introduces a
verification-driven engineering toolset that extends our previous work on
hybrid and arithmetic verification with tools for (i) graphical (UML) and
textual modeling of hybrid systems, (ii) exchanging and comparing models and
proofs, and (iii) managing verification tasks. This toolset makes it easier to
tackle large-scale verification tasks
Hybrid Systems and Control With Fractional Dynamics (I): Modeling and Analysis
No mixed research of hybrid and fractional-order systems into a cohesive and
multifaceted whole can be found in the literature. This paper focuses on such a
synergistic approach of the theories of both branches, which is believed to
give additional flexibility and help to the system designer. It is part I of
two companion papers and introduces the fundamentals of fractional-order hybrid
systems, in particular, modeling and stability analysis of two kinds of such
systems, i.e., fractional-order switching and reset control systems. Some
examples are given to illustrate the applicability and effectiveness of the
developed theory. Part II will focus on fractional-order hybrid control.Comment: 2014 International Conference on Fractional Differentiation and its
Application, Ital
Hybrid Systems and Control With Fractional Dynamics (II): Control
No mixed research of hybrid and fractional-order systems into a cohesive and
multifaceted whole can be found in the literature. This paper focuses on such a
synergistic approach of the theories of both branches, which is believed to
give additional flexibility and help the system designer. It is part II of two
companion papers and focuses on fractional-order hybrid control. Specifically,
two types of such techniques are reviewed, including robust control of
switching systems and different strategies of reset control. Simulations and
experimental results are given to show the effectiveness of the proposed
strategies. Part I will introduce the fundamentals of fractional-order hybrid
systems, in particular, modelling and stability of two kinds of such systems,
i.e., fractional-order switching and reset control systems.Comment: 2014 International Conference on Fractional Differentiation and its
Application, Ital
Assessment of two hybrid van der Waals density functionals for covalent and non-covalent binding of molecules
Two hybrid van der Waals density functionals (vdW-DFs) are constructed using
25%, Fock exchange with i) the consistent-exchange vdW-DF-cx functional and ii)
with the vdW-DF2 functional. The ability to describe covalent and non-covalent
binding properties of molecules are assessed. For properties related to
covalent binding, atomization energies (G2-1 set), molecular reaction energies
(G2RC set), as well as ionization energies (G21IP set) are benchmarked against
experimental reference values. We find that hybrid-vdW-DF-cx yields results
that are rather similar to those of the standard non-empirical hybrid PBE0 [JCP
110, 6158 (1996)]. Hybrid vdW-DF2 follows somewhat different trends, showing on
average significantly larger deviations from the reference energies, with a MAD
of 14.5 kcal/mol for the G2-1 set. Non-covalent binding properties of molecules
are assessed using the S22 benchmark set of non-covalently bonded dimers and
the X40 set of dimers of small halogenated molecules, using wavefunction-based
quantum chemistry results for references. For the S22 set, hybrid-vdW-DF-cx
performs better than standard vdW-DF-cx for the mostly hydrogen-bonded systems.
Hybrid-vdW-DF2 offers a slight improvement over standard vdW-DF2. Similar
trends are found for the X40 set, with hybrid-vdW-DF-cx performing particularly
well for binding involving the strongly polar hydrogen halides, but poorly for
systems with tiny binding energies. Our study of the X40 set reveals both the
potential of mixing Fock exchange with vdW-DF, but also highlights shortcomings
of the hybrids constructed here. The solid performance of hybrid-vdW-DF-cx for
covalent-bonded systems, as well as the strengths and issues uncovered for
non-covalently bonded systems, makes this study a good starting point for
developing even more precise hybrid vdW-DFs
Hybrid Simulation Safety: Limbos and Zero Crossings
Physical systems can be naturally modeled by combining continuous and
discrete models. Such hybrid models may simplify the modeling task of complex
system, as well as increase simulation performance. Moreover, modern simulation
engines can often efficiently generate simulation traces, but how do we know
that the simulation results are correct? If we detect an error, is the error in
the model or in the simulation itself? This paper discusses the problem of
simulation safety, with the focus on hybrid modeling and simulation. In
particular, two key aspects are studied: safe zero-crossing detection and
deterministic hybrid event handling. The problems and solutions are discussed
and partially implemented in Modelica and Ptolemy II
A Rewriting-Logic-Based Technique for Modeling Thermal Systems
This paper presents a rewriting-logic-based modeling and analysis technique
for physical systems, with focus on thermal systems. The contributions of this
paper can be summarized as follows: (i) providing a framework for modeling and
executing physical systems, where both the physical components and their
physical interactions are treated as first-class citizens; (ii) showing how
heat transfer problems in thermal systems can be modeled in Real-Time Maude;
(iii) giving the implementation in Real-Time Maude of a basic numerical
technique for executing continuous behaviors in object-oriented hybrid systems;
and (iv) illustrating these techniques with a set of incremental case studies
using realistic physical parameters, with examples of simulation and model
checking analyses.Comment: In Proceedings RTRTS 2010, arXiv:1009.398
Predictive Analysis for Social Processes II: Predictability and Warning Analysis
This two-part paper presents a new approach to predictive analysis for social
processes. Part I identifies a class of social processes, called positive
externality processes, which are both important and difficult to predict, and
introduces a multi-scale, stochastic hybrid system modeling framework for these
systems. In Part II of the paper we develop a systems theory-based,
computationally tractable approach to predictive analysis for these systems.
Among other capabilities, this analytic methodology enables assessment of
process predictability, identification of measurables which have predictive
power, discovery of reliable early indicators for events of interest, and
robust, scalable prediction. The potential of the proposed approach is
illustrated through case studies involving online markets, social movements,
and protest behavior
- …