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[PDF] Top 20 Model selection, identification and robust control for dynamical systems

Has 10000 "Model selection, identification and robust control for dynamical systems" found on our website. Below are the top 20 most common "Model selection, identification and robust control for dynamical systems".

Model selection, identification and robust control for dynamical systems

Model selection, identification and robust control for dynamical systems

... Proceeding., of the Work.ohop on Struc- t'Uml Safety Eval'Uation Ba.,ed on Sy.,tern Ident'(fimtion Approache.,.. Vieweg and Sons. Technical report, Ph.D. thesis, California [r] ... See full document

154

Frequency Domain Subspace Identification of Multivariable Dynamical Systems for Robust Control Design

Frequency Domain Subspace Identification of Multivariable Dynamical Systems for Robust Control Design

... system identification is subjected to the modelling uncertainties that are propagated from the non-parametric model of the system in ...recent robust Local Polynomial Method (LPM), the modelling ... See full document

6

Frequency Domain Subspace Identification of Multivariable Dynamical Systems for Robust Control Design

Frequency Domain Subspace Identification of Multivariable Dynamical Systems for Robust Control Design

... system identification is subjected to the modelling uncertainties that are propagated from the non-parametric model of the system in ...recent robust Local Polynomial Method (LPM), the modelling ... See full document

6

Efficient parameter identification and model selection in nonlinear dynamical systems via sparse Bayesian learning

Efficient parameter identification and model selection in nonlinear dynamical systems via sparse Bayesian learning

... The results are presented in Figure 2 for systems one to five excited with a single sine wave of 10Hz at an amplitude of 100N. The output data were corrupted with white Gaussian noise with a variance of 0.4%, ... See full document

14

Identification of nonlinear dynamical systems with time delay

Identification of nonlinear dynamical systems with time delay

... nonlinear dynamical systems with time ...nonlinear systems with time ...automatic model selection and an algebraic operation for preprocessing signals to filter the noise and for ... See full document

12

Model-based robust and stochastic control, and statistical inference for uncertain dynamical systems

Model-based robust and stochastic control, and statistical inference for uncertain dynamical systems

... deterministic robust MPC, stochastic robust MPC incorporates such probabilistic uncertainties and probabilistic violations of constraints, and allows for specified levels of risk during ...most ... See full document

255

Fault Detection and Model Identification in Linear Dynamical Systems

Fault Detection and Model Identification in Linear Dynamical Systems

... fault model? What if the problem must be formulated more in terms of the original system matrices? What happens when a control is already present in the model? Could alternative cost functions be ... See full document

176

Structured Feature Selection of Continuous Dynamical Systems for Aircraft Dynamics Identification

Structured Feature Selection of Continuous Dynamical Systems for Aircraft Dynamics Identification

... the model-based approach which motivates the need for ac- curate system identification techniques, while Section 3 is a brief summary of the existing well-established ...of dynamical systems ... See full document

29

Robust and Model Predictive Control for Boundary Control Systems

Robust and Model Predictive Control for Boundary Control Systems

... Mathematical control theory is the area of application-oriented mathematics that is concerned with the analysis and design of control ...This control objective is called output ...cruise ... See full document

100

Approximate Bayesian Computation by Subset Simulation for model selection in dynamical systems

Approximate Bayesian Computation by Subset Simulation for model selection in dynamical systems

... Bayesian model selection problem, mainly due to lack of a sufficient summary statistics that work across ...state-space model class allows us to independently estimate the evidence for each ... See full document

6

Robust design optimisation of dynamical space systems

Robust design optimisation of dynamical space systems

... Figure 1. Belief, nominal solution and margin for the first approach described in paragraph 6.1 8. CONCLUSIONS In this paper we described a new approach to do design for resilience by taking into account both robustness ... See full document

6

Robust design optimisation of dynamical space systems

Robust design optimisation of dynamical space systems

... Figure 1. Belief, nominal solution and margin for the first approach described in paragraph 6.1 8. CONCLUSIONS In this paper we described a new approach to do design for resilience by taking into account both robustness ... See full document

7

Robust design optimisation of dynamical space systems

Robust design optimisation of dynamical space systems

... Figure 1. Belief, nominal solution and margin for the first approach described in paragraph 6.1 8. CONCLUSIONS In this paper we described a new approach to do design for resilience by taking into account both robustness ... See full document

8

Robust Adaptive Model Predictive Control of Nonlinear Systems

Robust Adaptive Model Predictive Control of Nonlinear Systems

... For systems whose true dynamics can only be approximated to within a large margin of un- certainty, it becomes necessary to directly account for the plant-model ...the robust-MPC approaches discussed ... See full document

37

Robust Distributed Model Predictive Control of Linear Systems

Robust Distributed Model Predictive Control of Linear Systems

... for a non-iterative parallel, and in [12] for a non-iterative sequential setup. In contrast, this paper considers tube techniques tailored for iterative distributed MPC based on distributed opti- mization. The paper ... See full document

6

Aspects on Robust Control and Identification

Aspects on Robust Control and Identification

... Chapter 6 Conclusions Since most of the controllers in the process industry are of PID-type, it is still today important to develop user friendly tuning methods for fixed structure linear controllers. Frequency loop ... See full document

56

Adaptive control of nonlinear dynamical systems using a model reference approach

Adaptive control of nonlinear dynamical systems using a model reference approach

... adaptive control; model reference 1. Introduction Control of systems which exhibit nonlinear dynamical behavior, par- ticularly chaos, has been an active area of interest in recent ... See full document

17

Identification of N-state spatio-temporal dynamical
systems using a polynomial model

Identification of N-state spatio-temporal dynamical systems using a polynomial model

... to systems with two states o and ...the identification of n- state spatio-temporal ...polynomial model of n-state spatio- temporal system is given for the first time, and a completely new approach ... See full document

15

A Simple Model of Robust Portfolio Selection

A Simple Model of Robust Portfolio Selection

... bust control literature: Maenhout (2004) adapts a framework developed by Anderson, Hansen and Sargent (2003) to derive a portfolio selection model set in continuous time, where the decision maker has ... See full document

45

A class of robust adaptive controllers for infinite dimensional dynamical systems

A class of robust adaptive controllers for infinite dimensional dynamical systems

... An adaptive controller for a perturbed innite dimensional plant is developed to force the state of the plant track the state of a reference model. The reference model is based on the nom- inal plant that ... See full document

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