state-space system model
Linear system identification of longitudinal vehicle dynamics versus nonlinear physical modelling
... data-driven model of longitudinal vehicle dynamics and compare it to a nonlinear physically derived ...linear model was identified in continuous-time state- space form using a prediction error ...
7
Model Predictive Control Structures in Non Minimal State Space
... In all the above cases, it is assumed th a t the cost function weighting matrices are process dependent and defined by economic or process related factors th a t are out of reach for the designer of the controller. ...
204
Stability of the human respiratory control system. Part II: analysis of a three-dimensional delay state-space model
... Normal loop gain was given as 0.17 and instability begins when loop gain equals 1. They found that increasing controller gain by 25% increased loop gain by the same amount. Extrapolating from this one would expect that ...
23
Stability of the human respiratory control system. Part I: analysis of a two-dimensional delay state-space model
... dimensional state space ...two-dimensional model. ElHefnawy et. al. [9] considered a three-dimensional model for simulations which they reduced to a one-dimensional model for stability ...
34
Online State Space Model Parameter Estimation in Synchronous Machines
... generator model identification, so the mechanical torque is assumed to be constant and only the field voltage, which can be perturbed more easily, is ...the system too ...
9
Dependable Information Infrastructures as Complex Adaptive Systems
... emergent state is associ- ated with recognizable changes in the invariant proper- ties of the underlying ...emergent state is accompanied by a significant reduction in the number of degrees of freedom, or ...
13
Continuous state-space representation of a bucket-type rainfall-runoff model: a case study with the GR4 model using state-space GR4 (version 1.0)
... mathematical model from the computational model (Kavetski and Clark, 2010; Gupta et ...continuous state-space representation of a rainfall–runoff ...A state-space representation ...
15
Abstraction In Model Checking Real-Time Temporal Logic of Knowledge
... abstract state, and therefore we can obtain the finite form of the infinite state space of our ...crossing system, using the definition of the epistemic equivalent to agent Train between two ...
9
Recovery of Myocardial Kinematic Function without the Time History of External Loads
... biomechanical model has attracted great attention because of its physiologically meaningful representation of myocardial ...biomechanical model-based constraint, multiframe analysis strategies are gradually ...
9
Use of Extended Kalman Filter in Estimation of Attitude of a Nano-Satellite
... — State estimation theory is one of the best mathematical approaches to analyze the changes in the states of a system or a ...The state of the system is defined by a set of variables that ...
6
Modelling and control of a balancing robot using digital state space approach
... This thesis is concerned with the problems of modelling a complete mathematical model of a balancing robot and control the system using digital state space approach to pilots the motors [r] ...
24
Matched Pole-Zero State-Space Model and Continuous-Time Properties
... step-invariant model exceptionally preserves the physical meanings of the states and the direction of system ...a state- space realization, with similar advantages, for the MPZ ...
9
The first stage studies of U state space control system design
... linear state space design approaches for nonlinear polynomial models, there has been a recent research proposing a U-block model [3] defined as a general input output model, which is ...
7
State Space Model Predictive Control of an Aerothermic Process with Actuators Constraints
... of system identification meth- ods have been investigated and they are generally classi- fied into parametric ...the State Space Method Identification (N4SID) does not suffer from the problems caused ...
9
Estimation of Unobserved Inflation Expectations in India using State Space Model
... Correction Model (ECM) shows that adjustment of the system in short-run if it deviates from long-run ...the system back to equilibrium in the long-run if it deviates in the ...
15
Information Retrieval System By Using Vector Space Model
... Ethiopia has more than 80 languages. Cushitic family follows Afaan Oromo language and it has large number of speakers across Ethiopia . Afaan Oromo has more than 25 million speakers in Ethiopia as per the statistical ...
7
Bayesian Prediction of Bi Component State Space Model to Chinese Population
... Many experts and scholars at home and abroad studied population prediction. Stefan McKinnon, Edwards, Jaap B. Buntjer, etc. used group design for accurate prediction[1], Hossein Vahidi Monfared and Alireza Moini ...
11
RESULTS OF INTERBANK EXCHANGE RATES FORECASTING USING STATE SPACE MODEL
... linear state space model has become a standard modeling framework for the statistical analysis of time ...of state space become popular in the statistical community only after it was ...
9
State-dependent Riccati equation control with predicted trajectory
... the state-dependent Riccati equation method has many advantages over other non- linear design ...loop system results from the stabilising properties of the solution of the Algebraic Riccati ...closed-loop ...
6
Node centrality for continuous-time quantum walks
... walks model a diffusion process over the node set V , and have proven to be a useful tool in the analysis of its ...the state vector is constrained to lie in a probability space, in the quantum case ...
11