this paper established a mathematical model for load disaggregation based on the principles of load disaggregation, and formulates load disaggregation as a linear programming problem. the model is validated through ex...
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the paper is a short review of the problems arising in control of distributed systems of spacecraft due to different kinds of uncertainties and of various AI-based approaches to deal withthem. the considered uncertai...
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Most control synthesis methods under temporal logic properties require a model of the system, however, identifying such a model can be a challenging task. In this work, we develop a direct data-driven control synthesi...
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Most control synthesis methods under temporal logic properties require a model of the system, however, identifying such a model can be a challenging task. In this work, we develop a direct data-driven control synthesis method for temporal logic specifications, which does not require this explicit modeling step, capable of providing certificates for the general class of linear systems. After collecting a single sequence of input-output data from the system, we synthesize a controller, such that the controlled system satisfies a (possibly unbounded) temporal logic specification. the underlying optimization problem is solved by mixed-integer linear programming. We demonstrate the applicability of the results through simulation examples. Copyright (c) 2024 the Authors.
GP2 is a graph transformation rule-based graph programming language that facilitates analysis and verification of programs. Verification of a graph program with GP2 can be done with formal proof in first-order or mona...
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the proceedings contain 5 papers. the topics discussed include: a calculus of inductive linear constructions;semantic encapsulation using linking types;infix-extensible record types for tabular data;a dependently type...
ISBN:
(纸本)9798400702990
the proceedings contain 5 papers. the topics discussed include: a calculus of inductive linear constructions;semantic encapsulation using linking types;infix-extensible record types for tabular data;a dependently typed language with dynamic equality;and combining dependency, grades, and adjoint logic.
the article presents the results of scientific research on the design of a prototype of a geoinformation system for processing knowledge in the field of dialectology, as well as subsequent data visualization using geo...
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Experiencing the world based on virtual reality technology is increasingly valued. the aim of this study is to develop an Antarctic experience system that integrates multiple key technologies using the Unreal Engine p...
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ISBN:
(纸本)9798400717529
Experiencing the world based on virtual reality technology is increasingly valued. the aim of this study is to develop an Antarctic experience system that integrates multiple key technologies using the Unreal Engine platform, in order to promote a deeper understanding and recognition of the natural environment in Antarctica. this system integrates advanced technologies such as Antarctic scene reconstruction, physics-based aurora simulation, penguin behavior logicprogramming, realistic day and night alternation simulation, interactive operation design of snowmobiles, and automatic generation of complex terrain. through high-precision modeling and rendering techniques, this system accurately reproduces the natural environment of Antarctica and provides users with an immersive exploration experience by simulating natural phenomena such as auroras, penguin behavior, and day-night alternation. In addition, the interactive design and diverse terrain generation of snowmobiles further enhance the interactivity and exploration of the system. this study will also provide powerful tools for polar scientific research and education, and also offer some ideas for the application of virtual reality technology in natural environment simulation and experiences.
Adaptive virtual learning environments provide an ideal foundation for enhancing personalized learning experience. Moreover, the incorporation of game elements enhances motivation levels, further enhancing the potenti...
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Motivated by the interest in modeling real-world systems as mixed logical dynamical (MLD) systems with signal temporal logic (STL) specifications, this paper introduces an efficient iterative optimization scheme for t...
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Motivated by the interest in modeling real-world systems as mixed logical dynamical (MLD) systems with signal temporal logic (STL) specifications, this paper introduces an efficient iterative optimization scheme for this class of systems. We focus on a microgrid system with energy losses, providing two formulations: a mixed-integer-based model and a model tailored to the proposed technique. A numerical case study using model predictive control (MPC) demonstrates that the proposed method significantly improves computation time compared to the classical mixed-integer linear programming (MILP) approach for longer time horizons, while also addressing discontinuity and volatility issues sometimes observed in the MILP approach. Copyright (C) 2024 the Authors.
Existing methods for safe multi-agent control using logic specifications like Signal Temporal logic (STL) often face scalability issues. this is because they rely either on single-agent perspectives or on Mixed Intege...
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