PPT-Autonomous Cyber-Physical Systems:

Vehicle to X Communication Spring 2018 CS 599 Instructor Jyo Deshmukh Basic capabilities of V2V and V2I Cooperative Adaptive Cruise Control Autonomous Intersection Management Collaborative Merging. Abhilash Thekkilakattil. 1. , . Gordana. Dodig-. Crnkovic. 1,2. 1. Mälardalen University, Sweden. 2. Chalmers . Technical . University, Sweden. 2. University . of Gothenburg. , Sweden. Motivation. Google’s latest self-driving car prototype, 2015. Brian Connett, LCDR, USN. US NAVAL ACADEMY. Cyber. “A failure by the Department to secure its systems in cyberspace would pose a fundamental . risk . to our ability to accomplish defense missions today and in the future.” . David Garlan . Ivan Ruchkin. Carnegie Mellon University. Pittsburgh, PA, USA. December 2014. Acknowledgements. Joint work with faculty. Bruce Krogh (Electrical Engineering). Andre . Platzer. (Computer Science). Good News, Bad News and . Looking Forward. Haibo Chen. What is CPCC?. A . cloudy. definition by NIST of US . “a . system environment that can rapidly build, modify and provision cyber-physical systems composed of a set of cloud computing based sensor, processing, control, and data . Fairness, Monitors and Branching-Time Logics. Spring 2018. CS 599.. Instructor: Jyo Deshmukh. Acknowledgment: Some of the material in these slides is based on the lecture slides for CIS 540: Principles of Embedded Computation taught by Rajeev Alur at the University of Pennsylvania. http://www.seas.upenn.edu/~cis540/. Design and Analysis of Hybrid Systems. Spring 2018. CS 599.. Instructor: Jyo Deshmukh. Acknowledgment: Some of the material in these slides is based on the lecture slides for CIS 540: Principles of Embedded Computation taught by Rajeev Alur at the University of Pennsylvania. . Computing Generations. 1. st. Generation: 1945-1955. Vacuum tube computers. Used magnetic drums. Almost impossible to program, very slow. 2. nd. Generation: 1955-1965. Programming languages, assembly language. Security and Privacy in Cyber-Physical Systems. Spring 2018. CS 599.. Instructor: Jyo Deshmukh. Acknowledgment: Some of the material in these slides is based on the lecture slides for CIS 540: Principles of Embedded Computation taught by Rajeev Alur at the University of Pennsylvania. http://www.seas.upenn.edu/~cis540/. Dynamical Systems. Spring 2018. CS 599.. Instructor: Jyo Deshmukh. Acknowledgment: Some of the material in these slides is based on the lecture slides for CIS 540: Principles of Embedded Computation taught by Rajeev Alur at the University of Pennsylvania. http://www.seas.upenn.edu/~cis540/. Decision-making and planning. Spring 2018. CS 599.. Instructor: Jyo Deshmukh. Decision-making hierarchy. Motion planning. Overview. 2. Decision-making hierarchy. 3. Route Planning. Behavioral Planning. Basics of Control. Spring 2018. CS 599.. Instructor: Jyo Deshmukh. Acknowledgment: Some of the material in these slides is based on the lecture slides for CIS 540: Principles of Embedded Computation taught by Rajeev Alur at the University of Pennsylvania. http://www.seas.upenn.edu/~cis540/. Temporal Logic. Spring 2018. CS 599.. Instructor: Jyo Deshmukh. Acknowledgment: Some of the material in these slides is based on the lecture slides for CIS 540: Principles of Embedded Computation taught by Rajeev Alur at the University of Pennsylvania. http://www.seas.upenn.edu/~cis540/. Convolutional Neural Networks. Spring 2018. CS 599.. Instructor: Jyo Deshmukh. Neural network basics. Convolutional Neural Nets. Layout. 2. A feedforward neural network with . hidden layers is defined as follows:. Systems . of Systems (. CPSoSs. ). Bernhard Fr. ömel. . <. froemel@vmars.tuwien.ac.at. >. Institute of Computer Engineering, Vienna University of Technology. Outline. Introduction and Objectives.