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SUMMARY:Stability of Optimisation-based Control: Brief Review and New Resu
 lts  - Wen-Hua Chen\, Loughborough University
DTSTART:20210204T140000Z
DTEND:20210204T150000Z
UID:TALK157075@talks.cam.ac.uk
CONTACT:Thiago Burghi
DESCRIPTION:With the advances of artificial intelligence (AI) and machine 
 learning\, AI-enabled functions are now increasingly embedded in real-time
  control\, planning and decision loops in robotics and autonomous systems.
  Optimisation/search methods are behind many AI algorithms\, so the intera
 ction between optimisation algorithms and feedback loop is becoming even m
 ore important and complicated. Model predictive control (MPC) or receding 
 horizon control (RHC) provides a promising vehicle to bring optimisation f
 rom its open loop nature into a closed loop fashion so enables autonomous 
 systems to deal with unexpected events and uncertainty arising in environm
 ent and information. This talk briefly reviews the 30 years journey in the
  development of stability theory for MPC and recent progress. New stabilit
 y theory will be presented which provides a better way in achieving stabil
 ity guarantee for MPC of any length of horizon without the need of adding 
 a terminal weight in the cost function for online optimisation. Numerical 
 examples will be presented to illustrate the new stability analysis tools.
  It is hoped that this work will trigger more research into understanding 
 the interaction between optimisation and feedback loops in both the AI and
  the control community so ensure efficiency and safety of future robotics 
 and autonomous systems.\n\nDr Wen-Hua Chen holds a Professorship in Autono
 mous Vehicles in the Department ofAeronautical and Automotive Engineering 
 at Loughborough University\, UK. Prof. Chen hasconsiderable experience in 
 control\, signal processing and artificial intelligence and theirapplicati
 ons in aerospace\, automotive and agriculture systems. In the last 15 year
 s\, he hasbeen working on the development and application of unmanned airc
 raft systems and intelligentvehicle technologies\, spanning autopilots\, s
 ituational awareness\, decision making\, verification\,remote sensing for 
 precision agriculture and environment monitoring. His unmanned vehiclesrel
 ated research is widely supported by the UK government and industry. He is
  a CharteredEngineer\, and a Fellow of IEEE \, the Institution of Mechanic
 al Engineers and the Institution ofEngineering and Technology\, UK. Recent
 ly Prof Chen was awarded an EPSRC (Engineeringand Physical Science Researc
 h Council) Established Career Fellowship in developing controltheory for t
 he next generation of control systems to enable high levels of automation 
 such asrobotics and autonomous systems. \n\n\nZoom meeting link: https://z
 oom.us/j/93349961156
LOCATION:Online (Zoom)
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