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

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### 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

... 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

... 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

... 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

... 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

... 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 **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

... 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

... 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

... 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

... 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

... 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

... 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

... 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

... 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

... 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**; **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

... 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

... 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

... 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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