Identification of Nonlinear Marine Systems

Identification of Nonlinear Systems

Identification of Nonlinear Systems by Volterra Systems

| In this paper the identiication of non-linear systems by Volterra Systems (VS) and a special class of VS called Linearly decomposable Volterra Systems (LDVS) is considered. The results obtained for diierent nonlinear systems with VS and LDVS are studied in detail. A clear improvement in performance is observed if a LDVS is used instead of a VS.

Stable Rough Extreme Learning Machines for the Identification of Uncertain Continuous-Time Nonlinear Systems

‎Rough extreme learning machines (RELMs) are rough-neural networks with one hidden layer where the parameters between the inputs and hidden neurons are arbitrarily chosen and never updated‎. ‎In this paper‎, ‎we propose RELMs with a stable online learning algorithm for the identification of continuous-time nonlinear systems in the presence of noises and uncertainties‎, ‎and we prove the global ...

Optimized Experiment Design for Marine Systems Identification

Simulation of maneuvering and design of motion controls for marine systems require non-linear mathematical models, which often have more than one-hundred parameters. Model identiication is hence an extremely diicult task. This paper discusses experiment design for marine systems identiication and proposes a sensitivity approach to solve the practical experiment design problem. The applicability...

Identification of nonlinear systems using Polynomial Nonlinear State Space models