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DESCRIPTION:Speaker: Anuradha Annaswamy\, PhD\, Massachusetts Institute of 
 Technology\n\nTitle: Practical Adaptive Control\n\nAbstract: Adaptive Cont
 rol is viewed as a game changer in many application domains where real-tim
 e feedback control is essential to ensure the desired performance. Adaptiv
 e controllers\, whose distinguishing feature is a parameter estimator that
  prescribes the rule for changing the control parameters in real-time\, ha
 ve been studied extensively over the past forty years\, with fundamental p
 roperties of stability and robustness well understood. Guidelines for anal
 ysis and synthesis for adaptive controllers have been laid out for linear 
 and (specific classes of) nonlinear systems\, continuous and discrete-time
  systems\, single-input and multi-input systems\, and deterministic and st
 ochastic systems. So what’s missing? There are glaring gaps in adaptive 
 control theory that remain to be closed for adaptive control to be a viabl
 e\, practical\, and easily implementable methodology. Guarantees have to b
 e provided that ensure robustness to a wide variety of non-parametric pert
 urbations. Guidelines have to be in place for a systematic design of all f
 ree parameters in the controller. Bounds have to be derived\, not only for
  steady-state behavior\, but also for transient characteristics. Implement
 ation issues will have to be satisfactorily addressed. The ability to acco
 mmodate actuator constraints in terms of bandwidth\, magnitude limits\, an
 d rate limits has to be precisely characterized. Recently\, there have bee
 n breakthroughs in Adaptive Control that have led to reducing the above ga
 ps. This talk will outline the basic principles of the now classical adapt
 ive control theory\, but also highlight these recent results and show how 
 they contribute towards making adaptive control practical.\n\nSpeaker(s): 
 Dr. Anuradha Annaswamy\, Massachusetts Institute of Technology\, \n\nRoom:
  3043\, Bldg: Coover Hall\, Electrical and Computer Engineering\, Ames\, I
 owa\, United States
LOCATION:Room: 3043\, Bldg: Coover Hall\, Electrical and Computer Engineeri
 ng\, Ames\, Iowa\, United States
ORGANIZER:rkumar@iastate.edu
SEQUENCE:8
SUMMARY:Practical Adaptive Control
URL;VALUE=URI:https://events.vtools.ieee.org/m/161288
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;&lt;strong&gt;Speaker:&amp;nbsp\;Anuradha Annaswamy\
 , PhD\, Massachusetts Institute of Technology&lt;/strong&gt;&lt;/p&gt;\n&lt;p&gt;&lt;strong&gt;Tit
 le:&amp;nbsp\;&lt;/strong&gt;Practical Adaptive Control&lt;/p&gt;\n&lt;p&gt;&lt;strong&gt;Abstract:&amp;nb
 sp\;&lt;/strong&gt;Adaptive Control is viewed as a game changer in many applicat
 ion domains where real-time feedback control is essential to ensure the de
 sired performance. Adaptive controllers\, whose distinguishing feature is 
 a parameter estimator that prescribes the rule for changing the control pa
 rameters in real-time\, have been studied extensively over the past forty 
 years\, with fundamental properties of stability and robustness well under
 stood. Guidelines for analysis and synthesis for adaptive controllers have
  been laid out for linear and (specific classes of) nonlinear systems\, co
 ntinuous and discrete-time systems\, single-input and multi-input systems\
 , and deterministic and stochastic systems. So what&amp;rsquo\;s missing? Ther
 e are glaring gaps in adaptive control theory that remain to be closed for
  adaptive control to be a viable\, practical\, and easily implementable me
 thodology. Guarantees have to be provided that ensure robustness to a wide
  variety of non-parametric perturbations. Guidelines have to be in place f
 or a systematic design of all free parameters in the controller. Bounds ha
 ve to be derived\, not only for steady-state behavior\, but also for trans
 ient characteristics. Implementation issues will have to be satisfactorily
  addressed. The ability to accommodate actuator constraints in terms of ba
 ndwidth\, magnitude limits\, and rate limits has to be precisely character
 ized. Recently\, there have been breakthroughs in Adaptive Control that ha
 ve led to reducing the above gaps. This talk will outline the basic princi
 ples of the now classical adaptive control theory\, but also highlight the
 se recent results and show how they contribute towards making adaptive con
 trol practical.&lt;/p&gt;
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