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Leon James
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1 The Story of an Emininent Illinois Lab The Decision and Control Laboratory (DCL) at Illinois traces its origins to an adaptive systems research group established in the Coordinated Science Laboratory in 1959 by CSL associate director Mac Van Valkenburg. The group consisted of just two people: Van Valkenburg and his freshly graduated advisee, José Cruz (PhD 1959), whose dissertation extended traditional circuit theory to address systems with time-varying components, introducing ideas from the emerging field of automatic control. Nearly 5 years later, the DCL claims 2 faculty from five departments and enjoys a reputation second to none in the world of control,...

2 Our Focus The mission of the Decision and Control Laboratory is to create intelligence and autonomy... In many of today's applications there is an abundance of information, due to advances in sensor and network technologies... The challenge these days:... create intelligent systems that can perform effectively under diverse circumstances... can adapt to maintain reliability even in a highly uncertain, complex, and dynamic environment.

3 Our Focus The mission of the Decision and Control Laboratory is to create intelligence and autonomy... In many of today's applications there is an abundance of information, due to advances in sensor and network technologies... The challenge these days:... create intelligent systems that can perform effectively under diverse circumstances... can adapt to maintain reliability even in a highly uncertain, complex, and dynamic environment. We seek tools to obtain control solutions for complex, dynamic behaviors,...the Internet and other cyberphysical systems, genetic networks, swarms of robots, or economic markets. The creation of these tools requires application of both new and old mathematics

4 CSL Industrial Engineering and Systems Engineering Carolyn Beck R. S. Sreenivas Communication (College of Liberal Arts and Sciences) Dusan Stipanovic Christian Sandvig Electrical and Computer Engineering Tamer Basar Seth Hutchinson P. R. Kumar Daniel Liberzon Yi Ma Sean Meyn William Perkins Markov Processes Aerospace Cedric Langbort Petros Voulgaris Discrete-Event Systems Optimal Control Adaptive Control Game Theory ADP Machine Learning Computer Science Stephen LaValle Information Theory Mechanical and Industrial Engineering Geir Dullerud Naira Hovakimyan Prashant Mehta Vasu (Srinivasa) Salapaka...

5 CSL OREGON SAN FRANCISCO Local optimization for global coordination Game Theory Optimal Control Markov Processes ADP Machine Learning Discrete-Event Systems Adaptive Control Information Theory... R STO R 5 w2 4 3 demand demand w1 Figure 7.2: Optimal policies... Controlled work-release, controlled routing, uncertain demand.

Information Technology Convergence Lab Vision Sensors Planning and Scheduling Automatic Control Ad Hoc Network http://watt.

6 Information Technology Convergence Lab Vision Sensors Planning and Scheduling Automatic Control Ad Hoc Network Aug 21, 26, P. R. Kumar Do not distribute or disseminate without permission

7 Complex Systems: Uncertainty, Competition and Dynamics... U.S. Department of Energy to tackle complex questions regarding energy markets. This research will allow for a deeper understanding of the competitive interplay between firms, power marketers and consumers in the face of uncertainty in both demand and resource availability New Zealand, August 3-9, 29 Total Wind Generation Output (MW) Australia January Volume (MWh) 8, 6, 4, Victoria + 1, Price (Aus $/MWh) Megawatts Mon Tues Weds Thurs Fri Sat Sun Available Resources Forecast Volume (MWh) 1,4 1,2 1, 8 Tasmania , Price (Aus $/MWh) 22 2 Day Ahead Demand Forecast Actual Demand CAISO 21 Hour Beginning

And algorithms that unlock the mysteries of disease... http://csl.

8 Facial recognition systems that unmask criminals in disguise Facial recognition systems that unmask criminals in disguise. Traffic systems that operate autonomously. And algorithms that unlock the mysteries of disease...

9 Engineering on the Brain IV Cortex The National Science Foundation has awarded Illinois an IGERT grant to study neuroengineering,... VI Relay Cell Int LGN Thalamus TRN Retinal input CSL researchers Doug Jones and Todd Coleman are spearheading a new initiative on neuroengineering that will enable novel brain-machine interfaces and other breakthroughs.

Emerging Frontiers of Science of Information The center will explore emerging frontiers of information science to develop a set of principles extending information theory to integrate the elements of

The team hopes to create formal methodologies, algorithms and computation tools to assist in analysis and modeling for the life sciences, communications, 4 financial transactions and patterns of

10 Emerging Frontiers of Science of Information The center will explore emerging frontiers of information science to develop a set of principles extending information theory to integrate the elements of space, time, structure, semantics and context. The team hopes to create formal methodologies, algorithms and computation tools to assist in analysis and modeling for the life sciences, communications, 4 financial transactions and patterns of consumer behavior. lexa respone Cortex Thalamus Optic nerve Thalamic output Retinal input Layer IV Layer VI RE cell TC cell Brain stem Defining the information carried by macromolecules, and in biological networks. Expression Level Expression Level Expression Level Expression Level rpos response rpoh response st Regulator 2nd Regulator 4 Input Combinations Determining information exchange protocols and control mechanisms for proteins and protein interactions. Defining the information carried in wireless networks

Visvesvaraya Technological University, Belagavi

Visvesvaraya Technological University, Belagavi Time Table for M.TECH. Examinations, June / July 2017 M. TECH. 2010 Scheme 2011 Scheme 2012 Scheme 2014 Scheme 2016 Scheme [CBCS] Semester I II III I II III I II III I II IV I II Time Date, Day 14/06/2017,