1994
DOI: 10.1109/9.333782
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A stability property and its application to discrete-time nonlinear system control

Abstract: Aktmct-An inequality on the solution of discrete-time nonlinear systems is established. A special case of this inequality leads to a stability result that is the counterpart of the Kelemen theorem on continuous-time systems. Application of this inequality gives some results on stability, regulation, and tracking of the discrete-time nonlinear systems.

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Cited by 23 publications
(8 citation statements)
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“…Therefore, as shown in [11], an application of the Gronwall-Bellman inequality in the Appendix shows that z(k) k b 2 c 1 1 + c1b3 k k j=1 1 + c1b3 0j 0j ky(j 0 1)k thus kz(k)k b2c1 k k j=1 0j ky(j 0 1)k where = + cb 3 . Note that can be made less that one by suitably choosing b 3 .…”
Section: Remarkmentioning
confidence: 69%
See 1 more Smart Citation
“…Therefore, as shown in [11], an application of the Gronwall-Bellman inequality in the Appendix shows that z(k) k b 2 c 1 1 + c1b3 k k j=1 1 + c1b3 0j 0j ky(j 0 1)k thus kz(k)k b2c1 k k j=1 0j ky(j 0 1)k where = + cb 3 . Note that can be made less that one by suitably choosing b 3 .…”
Section: Remarkmentioning
confidence: 69%
“…Substituting (10) into (1) and (2) and expanding the Taylor series expansion about (0, 0), we obtain k+2 x f (k + 1) = k+1 @f @x x f + @f @y y f + 2k+2 R 1 (x f ; y f ) (11) k+1 y f (k + 1) = k+1 @g @x x f + @g @y y f + 2k+2 R 2 (x f ; y f ) (12) where lim (x; y)! (0; 0) R1(x; y); R2(x; y) = 0.…”
Section: System Description and Decompositionmentioning
confidence: 99%
“…Several researchers have investigated the behavior of nonlinear systems under the influence of slowly varying input signals for both continuous-time [4], [5], [7] and discrete-time [3] cases. Essentially, the notion is that if the system possesses a manifold of exponentially or asymptotically stable constant operating points (equilibria) corresponding to constant values of the input signal, then an initial state close to this manifold and a slowly varying input signal yield a trajectory that remains close to the manifold.…”
Section: Introductionmentioning
confidence: 99%
“…= n + p (9) for all λ given by ([3], [4], [11] and [14] From the results of the discrete-time servomechanism problem in [11], [14] and [21], it is not difficult to deduce that, under assumption A1, and suppose that the close-loop system (5) (12) (ii) the closed-loop system (5) satisfies R2 if there exists a sufficiently smooth…”
Section: X(t + 1) = F (X(t) U(t) V(t) W) E(t) = H(x(t) U(t) V(tmentioning
confidence: 99%