Control Reconfiguration of Cyber-physical Systems for Improved Performance via Reverse-engineering and Accelerated First-order Algorithms

Shu, Han; Zhang, Xuan; Li, Na; Papachristodoulou, Antonis

doi:10.1109/iccps48487.2020.00034

Cited by 2 publications

(2 citation statements)

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“…Washizaki [1] confirmed that any reverse engineering activity can be clearly described as a pattern based on the framework from the viewpoint of program meta-models. Shu [2] presented a control reconfiguration approach to improve the performance of two classes of dynamical systems by reverse-engineer. Poženel [3] used clickstream data to enhance reverse engineering of Web applications.…”

Section: Related Workmentioning

confidence: 99%

“…Allocation on the stack If a game object will not escape beyond the method, JIT will allocate the object's Memory on the stack, so that the Memory space occupied by the object can be destroyed as the stack frame pops out. 2 Synchronous elimination If the escape analysis finds that the game object will not escape beyond the thread, then the synchronization measures of the object can be eliminated. 3 Scalar replacement If a game object will not be accessed externally, and the object can be disassembled, then JIT may not create the object when the program is executed, and instead allocate member variables of the object on the Memory stack.…”

Section: B Features Of 3d Video Games and Compilersmentioning

confidence: 99%

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Reversely Discovering and Modifying Properties Based on Active Deep Q-Learning

Huo

2020

IEEE Access

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Many researchers studied DQN (Deep Q-Networks) to train a game AI to beat human players, while we trained an improved AI to reversely modify properties of 3D video games. Our ultimate objective is to improve automatic debug for software and cloud services. However, the problem that reversely discovers properties in online 3D Video Games in an automatic way has not been studied yet. Therefore, related special difficulties are first discussed in the paper. RMDQN (a Reverse Method based on our active Deep Q-Networks) is proposed to deal with the problem, and an active DQN is invented to make the reverse procedure automatic and intelligent. The action engine of RMDQN is able to control any operational game object like a player is playing, which makes automatic debug possible. A video demonstration is provided to show the result of reversely modifying game properties by our method. It was proved that our method can improve debug technology in 3D video games, and it will be applied in cloud services with few modifications.

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Section: Related Workmentioning

confidence: 99%

Section: B Features Of 3d Video Games and Compilersmentioning

confidence: 99%