The state-space approach has an advantage over frequency-domain approaches such as the transfer-function approach: it can be used to model linear, nonlinear, time-varying, and multivariable systems, whereas the transfer-function approach is suited to linear time-invariant (LTI) systems [1, ...
SYS = SS(A,B,C,D) creates a SS object SYS reprcontinuous-time state-space modeld*dt=A*(t)+Bu(t) y(t)= Cx(t)+ Du(t)x_1+x_2=10;x_1+x_2+5x_3=100;10x_112x_2=1100. x_1=0,①;x_1+x_2;x_3;a_2;x_3-x_2+x_3+a_4x_3=0.. ...
In view of the above issues, in this work the problem of deriving continuous-time LPV models in state-space form from sampled measurements of input, output and scheduling variables is considered, in the framework of a local approach. The proposed method is formulated in the subspace model ...
1.2 Latent Space Model 考虑任意state abstraction/representation mapping function \phi ,原始的MDP同样被(通常为压缩)为latent space MDP。更多相关内容可参考[1,2]。 在本工作中,作者通过基于state representation 构造 reward function 以及dynamics function,构成DeepMDP;并通过minimize DeepMDP的prediction error来学...
Continuous time state space modeling of panel data by means of sem Maximum likelihood parameter estimation of the continuous time linear stochastic state space model is considered on the basis of large N discrete time dat... J Oud,R Jansen - 《Psychometrika》 被引量: 236发表: 2000年 ...
Understanding more about a patient's physiological state at a given time could hold the key to effective treatment policies. In this work, we propose a new approach to deduce optimal treatment policies for septic patients by using continuous state-space models and deep reinforcement learning. ...
Minimax L_2-E_2 FIR filter (MLEFF) is proposed for deterministic continuous-time state space signal models. The MLEFF is designed to minimize the maximum value of the L_2-E_2 performance criterion together with linearity, unbiased property in the deterministic sense, FIR structure, and ...
{eng}, title = {Identification of Continuous-Time MIMO State Space Models from Sampled Data, in the Presence of Process and Measurement Noise}, year =... Haverkamp, B.R.J. Chou, C.T. Verhaegen, M.H. Johansson, R - IEEE 被引量: 65发表: 1996年 Identification of Continuous-Time ARX ...
A continuous time non-minimal state-space (NMSS) representation is shown to be explicitly related to the underlying minimal state-space observer/state feedback design method and, moreover, the corresponding state feedback gains are explicitly related. This result provides a starting point for NMSS ...
Jump Markov linear systems (JMLSs) are linear systems whose parameters evolve with time according to a finite state Markov chain. Given a set of observatio... A Doucet,C Andrieu - 《IEEE Transactions on Signal Processing》 被引量: 377发表: 2001年 Hybrid state-space fuzzy model-based controll...