1994
DOI: 10.1109/59.317620
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Feedback linearizing excitation control on a full-scale power system model

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Cited by 117 publications
(42 citation statements)
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“…The first important result based on external feedback linearization (Marino, 1984), was further developed by several authors, for example Mak (1992), Mielczarski and Zajaczkowski (1994), King et al (1994), Jain et al (1994), Akhrif et al (1999), Jiang et al (2001). An alternative to this linearization technique is given by the direct feedback linearization, recent results being available for instance in (Guo et al, 2000;Guo et al, 2001).…”
Section: Introductionmentioning
confidence: 99%
“…The first important result based on external feedback linearization (Marino, 1984), was further developed by several authors, for example Mak (1992), Mielczarski and Zajaczkowski (1994), King et al (1994), Jain et al (1994), Akhrif et al (1999), Jiang et al (2001). An alternative to this linearization technique is given by the direct feedback linearization, recent results being available for instance in (Guo et al, 2000;Guo et al, 2001).…”
Section: Introductionmentioning
confidence: 99%
“…Early nonlinear excitation controllers proposed were based on feedback linearization [14,6,9]. These were very important results to establish limits and possibilities for nonlinear control in power systems, but direct practical application of these design methods by themselves seems unlikely.…”
Section: Passivity Based Controllersmentioning
confidence: 99%
“…Then, the closed-loop system takes the form (9), (10) and (i) x * is the unique equilibrium such that…”
Section: Proposition 1 Consider the Smib System (1) In Closed-loop Wimentioning
confidence: 99%
See 1 more Smart Citation
“…To analyze the EPS entire operation region, nonlinear control design techniques are more appropriate. Various nonlinear techniques have been implemented, e.g., control based on direct Lyapunov method (Machowsky et al, 1999), feedback linearization (FL) technique (Akhkrif, et al, 1999, Wu & Malik, 2006 including backstepping (Jung et al, 2005King et al, 1994, intelligent neural networks (Venayagamoorthy et al, 2003, Mohagheghi et al, 2007, fuzzy logic (Yousef & Mohamed, 2004) and normal form analysis (Kshatriya, et al, 2005, Liu et al, 2006.…”
Section: Introductionmentioning
confidence: 99%