2020
DOI: 10.1016/j.ifacol.2020.12.2359
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Minimizing the Information Leakage Regarding High-Level Task Specifications

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Cited by 3 publications
(4 citation statements)
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“…where the margin function M G(•) is defined in (18), ζ is a positive constant, the external time t is usually set to be 0.…”
Section: Robust Temporal Logic Inference Formentioning
confidence: 99%
See 1 more Smart Citation
“…where the margin function M G(•) is defined in (18), ζ is a positive constant, the external time t is usually set to be 0.…”
Section: Robust Temporal Logic Inference Formentioning
confidence: 99%
“…For the learning aspect, there has been a growing interest in learning (inferring) dense-time temporal logic formulae from system trajectories [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14]. Such temporal logic formulae have been used as high-level knowledge or specifications in many applications in robotics [15], [16], [17], [18], power systems [19], [20], [21], [22], smart buildings [23], [24], agriculture [25], etc. We infer dense-time temporal logic formulae from the temperature and humidity sensor data as dense-time temporal logics can effectively capture the time-related features in the transient period when people enter a room.…”
Section: Introductionmentioning
confidence: 99%
“…Besides, there has been no work in optimal control of epidemic models with formal specifications (e.g., expressed in temporal logic formulas). Control synthesis with temporal logic specifications: There are three main categories of approaches to designing controllers that meet temporal logic specifications [17], [18], [19], [20], [21], [22], [23], [24], [25], [26], [27]. The first category of approaches abstract the system as a transition system and transform the control syntheses problem into a series of constrained reachability problems [28], [29], [30].…”
Section: Related Workmentioning
confidence: 99%
“…With the increasing development of artificial intelligence and machine learning, there has been a growing interest in learning (inferring) dense-time temporal logic formulas from system trajectories [2,3,4,5,6,7,8,9,10,11,12,13]. Such temporal logic formulas have been used as high-level knowledge or specifications in many applications in robotics [14,15,16,17], power systems [18,19,20,21], smart buildings [22,23], agriculture [24], etc. We use the temporal logic inference methods to infer temporal logic formulas that can classify different actions of the system based on the environment.…”
Section: Introductionmentioning
confidence: 99%