Topic
System identification
About: System identification is a research topic. Over the lifetime, 21291 publications have been published within this topic receiving 439142 citations.
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TL;DR: A deterministic approach is proposed based on the idea of separable least squares for input nonlinearities parameterized by one parameter, which is very effective for several common static and nonstatic input non linearities.
220 citations
TL;DR: A method is proposed for the adaptive model predictive control of constrained nonlinear system that explicitly account for the transient effect of parametric estimation error by combining a parameter adjustment mechanism with robust MPC algorithms.
219 citations
TL;DR: A non-symmetrical Bouc-Wen model is proposed in this paper for magnetorheological (MR) fluid dampers and the algorithm termination criterion is formulated on the basis of a statistical hypothesis test, thus enhancing the performance of the parameter identification.
Abstract: A non-symmetrical Bouc-Wen model is proposed in this paper for magnetorheological (MR) fluid dampers. The model considers the effect of non-symmetrical hysteresis which has not been taken into account in the original Bouc-Wen model. The model parameters are identified with a Genetic Algorithm (GA) using its flexibility in identification of complex dynamics. The computational efficiency of the proposed GA is improved with the absorption of the selection stage into the crossover and mutation operations. Crossover and mutation are also made adaptive to the fitness values such that their probabilities need not be user-specified. Instead of using a sufficiently number of generations or a pre-determined fitness value, the algorithm termination criterion is formulated on the basis of a statistical hypothesis test, thus enhancing the performance of the parameter identification. Experimental test data of the damper displacement and force are used to verify the proposed approach with satisfactory parameter identification results.
219 citations
TL;DR: This paper develops the idea of min-max robust experiment design for dynamic system identification and proposes a convex optimisation algorithm that can be applied more generally to a discretised approximation to the design problem.
218 citations
01 Jan 1999
TL;DR: In this paper, an accurate, high-bandwidth, linear state-space model was derived for the hover condition of a fully-instrumented model-scale unmanned helicopter (Yamaha R-SO with loft. diameter rotor) for dynamic model identification.
Abstract: Abstmcf: Flight testing of a fully-instrumented model-scale unmanned helicopter (Yamaha R-SO with loft. diameter rotor) was conducted for the purpose of dynamic model identification. This paper describes the application of CIFER' system identification techniques, which have been developed for full size helicopters, to this aircraft. An accurate, high-bandwidth, linear state-space model was derived for the hover condition. The model structure includes the explicit representation of regressive rotor-flap dynamics, rigid-body fuselage dynamics, and the yaw damper. The R-50 codiguration and identified dynamics are compared with those of a dynamically scaled UH-1H. The identified model shows excellent predictive capability and is well suited for flight control design and simulation applications.
218 citations