CSS Lecture Library Listing
Welcome to the Online Lecture Library, an initiative of the IEEE Control Systems Society. The Library features plenary lectures from CSS conferences and selected other content. For more information, contact the Editor, Electronic Publications for the Society, Jianghai Hu (jianghai@purdue.edu).
2017 CDC
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Recent work on Model Predictive Control has refocused attention on the role of future disturbance uncertainty. One way of dealing with this issue is to use policy rather than sequence optimization. However, this comes at a significant increase in computational burden. In this talk we will outline strategies for dealing with the computational...
Melbourne, Australia -
The 25th anniversary of the commercialization of lithium-ion batteries marks their wide-spread use in handheld consumer electronics and coincides with a period of intense efforts for powering electric vehicles. Managing the potent brew of lithium ions in the large quantities necessary for vehicle propulsion is anything but straightforward....
Melbourne, Australia -
In many application domains, including systems and control theory, the optimization problems that appear are seldom "generic" but instead they often have well-defined structural features. Depending on the situation, such structure may be described algebraically (e.g., by transformations under which the problem is invariant, like linearity or...
Melbourne, Australia -
Feedback is as ubiquitous in nature as it is in design. So control theory can help us understand both natural and designed systems. Even better, generalized models abstracted from nature give us a mathematical means to connect control theoretic explanations of nature with opportunities in control design. Control theory is enriched by the...
Melbourne, Australia
2017 ACC
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Model predictive control has become a pervasive advanced control technology in which optimal control of a multivariable system with input and state constraints is combined with a moving horizon to produce a feedback controller. In applications, model predictive control is often used to solve constrained tracking problems. The tracking problem...
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Network systems have received a lot of attention in the past decade. They are used to analyze and design communication network, smart grid technology, social media, social dynamics, formation and consensus problems, etc. Several analysis and control methods have been developed for network systems. However, often, their large scale nature makes...
Seattle, WA, USA -
The area of polynomial optimization has been actively studied in computer science, operations research, applied mathematics and engineering, where the goal is to find a high-quality solution using an efficient computational method. This area has attracted much attention in the control community since several long-standing control problems could...
Seattle, WA, USA -
The number of unmanned aerial vehicles or drones has grown exponentially over the last three decades. Yet we are only now seeing autonomous flying robots that can operate in three-dimensional indoor environments and in outdoor environments without GPS. I will discuss the need for smaller, safer, smarter, and faster flying robots and the...
Seattle, WA, USA -
The area of polynomial optimization has been actively studied in computer science, operations research, applied mathematics and engineering, where the goal is to find a high-quality solution using an efficient computational method. This area has attracted much attention in the control community since several long-standing control problems could...
Seattle, WA, USA
2017 CCTA
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Kohala Coast, Hawai'i