1995
DOI: 10.1016/0959-1524(95)97301-8
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Nonlinear adaptive control with parameter estimation of a CSTR

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Cited by 37 publications
(25 citation statements)
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“…( ) = l n ( u ; ) = k ; ln( ; u) ( +1)=k (28) with k > 0, = u ss ; u u ; u < 0 and + 1 > 0. Note that V (z) + !…”
Section: A Preliminary Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…( ) = l n ( u ; ) = k ; ln( ; u) ( +1)=k (28) with k > 0, = u ss ; u u ; u < 0 and + 1 > 0. Note that V (z) + !…”
Section: A Preliminary Resultsmentioning
confidence: 99%
“…Lyapunov-based adaptive linearising techniques have been successively developed 1,2,28]. First, global stabilisation by state feedback of a reactor with an exothermic reaction was proved 1].…”
Section: Introductionmentioning
confidence: 99%
“…If such jacket temperature is taken as the manipulated control input (this introduces further complications in the actuation process with respect to the cooling water flow rate as manipulated control input) and the reactor temperature is taken as the output, then the control law, corresponding to u 1 (t) in Proposition 1, obtained by exact I/O linearization method is global (the denominator T C,in − T J (t) is no more present) and the overall control system is asymptotically stable (see [16] and references therein). In this case the ISS feedback control law is obtained by adding to the I/O linearizing feedback u 1 (t) (see (15) and (18) in [16]), the further control input…”
Section: A New Nonlinear Feedback Control Lawmentioning
confidence: 99%
“…Kosanovich et al 1995 proposed a Lyapunov-based, linearizing feedback adaptive control structure for a CSTR with unknown parameters. However, their approach requires that unknown parameters appear linearly in the model .…”
Section: Introductionmentioning
confidence: 99%