nonlinear state
Nonlinear state estimation using neural-cubature Kalman filter
... solving nonlinear state estimation problems because of many advantages such as satisfactory fi ltering accuracy and easy implementation compared to extended Kalman fi lter and unscented Kalman fi ...the ...
8
Initialization of nonlinear state-space models applied to the Wiener–Hammerstein benchmark
... of nonlinear models: on one hand classic system identification techniques are used to capture system dy- namics, and on the other hand nonlinear regression methods are employed to model the ...the ...
18
Stochastic Gradient MCMC for Nonlinear State Space Models
... Nonlinear state space models (SSMs) are widely used in many scientific domains for modeling time series and sequential ...example, nonlinear SSMs can be applied in engineering ...structure, ...
27
Two Second Order Nonlinear Extended Kalman Particle Filter Algorithms
... for nonlinear state-space ...of nonlinear system (SEKPF), the other, denoted by SLEKPF, uses a linearization method to approximate the quadratic of second order Taylor expansion of struc- tural ...
8
Comparisons of nonlinear estimators for wastewater treatment plants
... In this paper, the activated sludge process (ASP), which is the most generally applied biological wastewater treatment method, will be used for nonlinear state estimation study. The Activated Sludge Model ...
6
The strange physics of low frequency mirror mode turbulence in the high temperature plasma of the magnetosheath
... stationary nonlinear state of the evolution of mirror modes the modes become stretched along the mag- netic field with k k = 0 and that a small number the order of ...
11
Some Results on the Experimental Implementation of a State-Affine Observer for a DC Motor
... a nonlinear state-affine observer with non-constant ...natural nonlinear behavior associated to this type of systems and considers the parametric ...
6
Research Article Smart City Moving Target Tracking Algorithm Based on Quantum Genetic and Particle Filter
... with nonlinear and non-Gaussian problems, but when the standard particle fi lter uses resampling method to solve the degradation phenomenon, simply copying the particles will cause local optimization di ffi culties, ...
9
1. Introduction In this paper, we study solitary wave solutions of time-dependent N coupled nonlinear Schrödinger equations given by
... We shall make use of the so-called Liapunov-Schmidt reduction process and varia- tional approach. The Liapunov-Schmidt reduction method was first used in nonlinear Schr¨odinger equations by Floer and Weinstein ...
24
Positive bound state solutions for the nonlinear Schrödinger–Poisson systems with potentials
... of the papers mentioned above, the study involves positive ground state solutions to (1.1). In the present paper we consider a situation that has to be studied in a different way. We will find the positive solution ...
19
State estimation for discrete time systems with generalized Lipschitz nonlinear dynamics
... have been several useful observer design approaches for some specialized classes of discrete-time nonlinear systems [–]. For example, Ibrir [] proposed the circle- criterion approach to discrete-time ...
10
Modeling and Implementing Nonlinear Equations in Solid-State Lasers for Studying their Performance
... NYAB solid-state laser is an active non-linear crystal which has been studied in recent years due to its ability in producing green light laser. High effective non-linear coefficient and high damage threshold ...
7
State dependent NGMV control of delayed piecewise affine systems
... of state dependent systems over PWA systems is that state-dependent systems are easier to control and estimate as both the state and input constraints and the switching conditions are included in the ...
7
Time-Distributed Unknown Input Filtering for a Class of Nonlinear Systems
... The main aim of this paper is to extend the previous work [1] and continue the research line in investigating the application of the time-distributed system reformation filtering approach for nonlinear systems. In ...
6
Mode truncations and scattering in strong fields
... APPENDIX B: ANALOGOUS SYSTEMS The zero-mode Hamiltonian (16) has a number of analogs in solid state many-body systems, in particular polarons, i.e. electrons dressed by phonons as modelled by the Froehlich ...
16
Steady state response of a nonlinear system
... to a given input is first obtained in the form of a series solution in the multidimensional frequency domain.. series solution will converge..[r] ...
13
State-space approach to nonlinear predictive generalized minimum variance control
... PGMV Optimal Controller Consider the linear components of the plant, disturbance and output weighting models in state space form 2, 3 with input from the nonlinear finite gain stable pla[r] ...
42
Polarization chaos and random bit generation in nonlinear fiber optics induced by a timedelayed counter-propagating feedback loop
... the state-of-polarization in a nonlinear optical fiber due to the cross-interaction between an incident signal and its intense backward replica generated at the fiber-end through an amplified reflective ...
14
Simulation Analysis of Suppression of Resonant Overcurrent by Nonlinear Components
... resonant state overcurrent to its current value after changing the inductance ...resonant state and steps to the normal operating state at the original resonant ...set state of 2 H, and the ...
12
Epileptic seizure as a system of ordinary differential equation
... 7. Barton H. A. , Chiu, W. A. , Setzer, R.W. , Andersen, M. E. , Bailer, A. J. , Bois, F.Y. , DeWoskin, R.S. , Hays, S. , Johanson, G. , Jones, N. , Loizou, G. , MacPhail, R.C. , Portier, C.J., Spendi, M. and Tan, Y.M. ...
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