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Titlebook: Intelligent Networked Things; The 6th Conference o Lin Zhang,Wensheng Yu,Yongkui Liu Conference proceedings 2024 The Editor(s) (if applicab

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樓主: Nonchalant
41#
發(fā)表于 2025-3-28 18:38:48 | 只看該作者
42#
發(fā)表于 2025-3-28 19:17:45 | 只看該作者
Formal Verification of?Completeness Theorem in?Grundlagen der Geometrietinuity axioms and completeness theorem from . using the Coq proof assistant. The continuity axioms, more intricate than Hilbert’s others, involve a complex logical structure due to the introduction of natural numbers and infinite sets. Leveraging Coq’s Calculus of Inductive Construction (CIC), we s
43#
發(fā)表于 2025-3-28 23:47:32 | 只看該作者
Formalizing the?Independence of?Propositional Logic Axiom System in?Coqation for the reliability of mathematical theorems. In this paper, we use the Coq interactive theorem prover to formalize the propositional formulas, axiom system, and axiom independence of propositional logic. We use arithmetic interpretation to prove the independence of each set of axiom patterns,
44#
發(fā)表于 2025-3-29 05:03:02 | 只看該作者
45#
發(fā)表于 2025-3-29 10:41:59 | 只看該作者
Formalizing the?Equivalence of?Formal Systems in?Propositional Logic in?Coqght. Axiom systems and natural deduction systems represent two distinct formal systems within propositional logic. The equivalence between axiom systems and natural deduction systems plays a crucial role in maintaining the consistency of the reasoning systems, ensuring the accuracy and validity of t
46#
發(fā)表于 2025-3-29 12:41:59 | 只看該作者
Formalization of?the?Filter Extension Principle (FEP) in?Coqcipal ultrafilters. Non-principal ultrafilters find widespread applications in logic, set theory, topology, model theory, and especially non-standard extensions of algebraic structures. Since non-principal ultrafilters are challenging to construct directly, the Filter Extension Principle, stemming f
47#
發(fā)表于 2025-3-29 19:37:34 | 只看該作者
48#
發(fā)表于 2025-3-29 19:51:30 | 只看該作者
49#
發(fā)表于 2025-3-30 01:46:58 | 只看該作者
50#
發(fā)表于 2025-3-30 07:47:03 | 只看該作者
Off-Policy ,-Gain Control for?Discrete-Time Linear Systems with?Dropout networked control systems. The algorithm is specifically proposed to handle information dropout in the feedback loop without knowledge of system dynamics. To deal with this problem, first, we utilize the Smith predictor to overcome the effects of dropout. Then, we obtain the optimal solution by sol
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