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Introduction to the Selected Papers from ICCPS 2016
Eduardo Tovar, Sonia Martinez
Article No.: 1e
Selecting the Transition Speeds of Engine Control Tasks to Optimize the Performance
Alessandro Biondi, Marco Di Natale, Giorgio C. Buttazzo, Paolo Pazzaglia
Article No.: 1
Engine control applications include functions that need to be executed at specific rotation angles of the crankshaft. The tasks performing these functions are activated at variable rates and are programmed to be adaptive with respect to the...
Hybrid Optimal Control under Mode Switching Constraints with Applications to Pesticide Scheduling
Usman Ali, Magnus Egerstedt
Article No.: 2
This paper concerns optimal mode-scheduling in autonomous switched-mode hybrid dynamical systems, where the objective is to minimize a cost-performance functional defined on the state trajectory as a function of the schedule of modes. The...
Confidentiality Breach Through Acoustic Side-Channel in Cyber-Physical Additive Manufacturing Systems
Sujit Rokka Chhetri, Arquimedes Canedo, Mohammad Abdullah Al Faruque
Article No.: 3
In cyber-physical systems, due to the tight integration of the computational, communication, and physical components, most of the information in the cyber-domain manifests in terms of physical actions (such as motion, temperature change, etc.)....
Data-Driven Model Predictive Control with Regression Trees—An Application to Building Energy Management
Achin Jain, Francesco Smarra, Madhur Behl, Rahul Mangharam
Article No.: 4
Model Predictive Control (MPC) plays an important role in optimizing operations of complex cyber-physical systems because of its ability to forecast system’s behavior and act under system level constraints. However, MPC requires reasonably...
SMT-Based Observer Design for Cyber-Physical Systems under Sensor Attacks
Yasser Shoukry, Michelle Chong, Masashi Wakaiki, Pierluigi Nuzzo, Alberto Sangiovanni-Vincentelli, Sanjit A. Seshia, JOÃo P. Hespanha, Paulo Tabuada
Article No.: 5
We introduce a scalable observer architecture, which can efficiently estimate the states of a discrete-time linear-time-invariant system whose sensors are manipulated by an attacker, and is robust to measurement noise. Given an upper bound on the...
On Learning How Players Learn: Estimation of Learning Dynamics in the Routing Game
Walid Krichene, Mohamed Chedhli Bourguiba, Kiet Tlam, Alexandre Bayen
Article No.: 6
The routing game models congestion in transportation networks, communication networks, and other cyber-physical systems in which agents compete for shared resources. We consider an online learning model of player dynamics: at each iteration, every...