Talk: John J Leonard, Inference and Representations for Improving the Robustness of SLAM
Date and Time: Friday, June 4, 2021 at 1100 AEST Speaker: John J Leonard, MIT Title: Inference and Representations for Improving the Robustness of SLAM Abstract: Simultaneous localization and mapping (SLAM) is the process of constructing a global model of an environment from local observations of it; this is a foundational capability for mobile robots,…
Talk: Yannis Paschalidis, Machine Learning and Optimization Endeavors in Computational Biology and Medicine
Date and Time: Friday, May 28, 2021 at 1100 AEST Speaker: Yannis Paschalidis, Boston University, http://sites.bu.edu/paschalidis Title: Machine Learning and Optimization Endeavors in Computational Biology and Medicine Abstract: Optimization methods, and more broadly quantitative data-driven reasoning, have been the backbone of engineering systems for a very long time. More recently, and at an accelerating pace, they are finding…
Talk: Robert Chin, Model Predictive Controller Tuning by Machine Learning and Ordinal Optimisation
Date and Time: Friday, March 26, 2021 at 1300 AEDT Speaker: Robert Chin, The University of Melbourne Title: Model Predictive Controller Tuning by Machine Learning and Ordinal Optimisation Abstract: We present research findings towards the tuning of weight matrices in quadratic-cost model predictive controllers. In particular, we consider a scenario where the controller designer is…
Talk: Naime Ahmadi, Power Systems Decomposition for Robustifying State Estimation under Cyber Attacks
Date and Time: Friday, February 26, 2021 at 1300 AEDT Speaker: : Naime Ahmadi, Tokyo University of Technology Title: Power Systems Decomposition for Robustifying State Estimation under CyberAttacks Abstract: We propose an algorithm for the on-line implementation of a robust staticstate estimator on large power systems. The proposed algorithm maximizes thenumber of outliers and cyber-attacks…
Talk: Yankai Lin, Optimization and security in networked control systems
Date and Time: Friday, March 5, 2021 at 1300 AEDT Speaker: Yankai Lin, The University of Melbourne Title: Optimization and security in networked control systems Abstract: In this seminar, we present the research findings in the last four years with the focus on distributed optimization. Specifically, we present an asynchronous distributed algorithm based on dual…
Talk: Adair Lang, Input scheduling under constrained dynamics and receding-horizon control with uncertain preview
Date and Time: Friday, February 12, 2021 at 1300 AEDT Speaker: Adair Lang, The University of Melbourne Title: Input scheduling under constrained dynamics and receding-horizon control with uncertain previewAbstract: Optimization-based methods for tackling two problems in themanagement of dynamical systems will be presented. The first problemrelates to the scheduling of rigid-profile inputs under constrainedcontinuous-time dynamics. A parsimonious discretization is…
Talk: Adeel Akhtar, Nonlinear and geometric controls for a class of mobile robots
Date and Time: Friday, December 18, 2020 at 1300 AEDT Speaker: Adeel Akhtar, York University, Canada Title: Nonlinear and geometric controls for a class of mobile robotsAbstract: Most conventional control methods deal with stabilizing a given system about a point or some trajectory in the output space. An alternative formulation is stabilizing a subset of…
Talk: Jason Ford, Bayesian quickest change detection and insufficiently informative measurements.
Date and Time: Friday, December 4, 2020 at 1300 AEDT Speaker: Jason Ford, QUT Title: Bayesian quickest change detection and insufficiently informative measurements. Abstract: This talk considers the problem of quickly detecting a possible change (or a change point) in the distribution of a sequentially observed process. We begin by introducing the Quickest Change Detection…
Talk: Brian Anderson, Determining Causality
Date and Time: Friday, October 30, 2020 at 1300 AEDT Speaker: Brian Anderson, The Australian National University Title: Determining Causality Abstract: A control systems problem addressed several decades ago was to determine from measurements on different parts of a system whether there was feedback present in the system or not. Such problems as it turned out…
Talk: Andrei Pavlov, Interior-Point Differential Dynamic Programming
Date and Time: Thursday, October 22, 2020 at 1300 AEDT Speaker: Andrei Pavlov, The University of Melbourne Title: Interior-Point Differential Dynamic Programming Abstract: Model Predictive Control (MPC) is an optimisation-based closed-loop control technique with an ability to use a (potentially nonlinear) system dynamics model in minimising the objective function subject to the prescribed set of system constraints.…
Loading…
Something went wrong. Please refresh the page and/or try again.
Follow My Blog
Get new content delivered directly to your inbox.
STAEOnline 