On the stability of nonlinear sampled data feedback systems
โ Scribed by Chi-Tsong Chen
- Publisher
- Elsevier Science
- Year
- 1965
- Tongue
- English
- Weight
- 412 KB
- Volume
- 280
- Category
- Article
- ISSN
- 0016-0032
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โฆ Synopsis
7'his work is a generalization of Tsypkin's stability criterion for a class of time-varying nonlinear sampled-data feedback systems. Some sufficient conditions for the response to any bounded input sequence to be bounded are preserded. No assumptions are made concerning the internal dynamics of the linear subsystem, except that its inputoutput relation is of the form of convolution. The essence of the proof is to consider the nonlinear system as a perturbation of a stable linear sys~m.
๐ SIMILAR VOLUMES
The fundamental Luenberger observer for continuous systems can be extended to stabilize linear, and also a class of nonlinear, sampled-data systems by an algorithmic procedure which determines observer constants and feedback gains.
## Abstract A stability condition is developed for multivariable, nonlinear feedback systems. The method is based on a modified sector condition and is combined with a polynomial expansion of the nonlinear system to create viable approximations that can be exploited within the sector bound setting.
The stability of a general class of saturating nonlinear feedback system-s excited by bounded inputs is investigated. Explicit bounds are obtained on the magnit& and duration of the error signal when it shoots out front the unsaturated zone into the saturation zone. Thus, when the linear plant of th
A su~cient condition for absolute stability in the bounded-input-bounded-output sense for a class of nonlinear sampled-data systems is obtained. The stability theorem yields a Popov-type frequency domain test on the linear plant. The obtained criterion is identical to the criterion that establishes
In this paper, the stability of nonlinear time-varying feedback systems is studied using a "passive operator" technique. The feedback system is assumed to consist of a linear time-invariant operator G(s) in the forward path and a nonlinear time-varying gain function f( โข )K(t) in the feedback path.