Amanote Research
Register
Sign In
New Smoothers for Discrete-Time Linear Stochastic Systems With Unknown Disturbances
doi 10.5772/15256
Full Text
Open PDF
Abstract
Available in
full text
Date
April 26, 2011
Authors
Akio Tanikawa
Publisher
InTech
Related search
Kalman Filter for Discrete-Time Stochastic Linear Systems Subject to Intermittent Unknown Inputs
IEEE Transactions on Automatic Control
Control
Systems Engineering
Computer Science Applications
Electrical
Electronic Engineering
Novel Optimal Recursive Filter for State and Fault Estimation of Linear Stochastic Systems With Unknown Disturbances
International Journal of Applied Mathematics and Computer Science
Engineering
Computer Science
Applied Mathematics
Limited Model Information Control Design for Linear Discrete-Time Systems With Stochastic Parameters
Reduced-Order Disturbance Observer Design for Discrete-Time Linear Stochastic Systems
Transactions of the Institute of Measurement and Control
Instrumentation
Finite-Time Guaranteed State Estimation for Discrete-Time Systems With Disturbances
Stochastic Linear Quadratic Optimal Control for Discrete-Time Systems With Inequality Constraint and Markovian Jumps
A Discrete Time Model Reference Adaptive Control System for Plants With Unknown Deterministic Disturbances
Transactions of the Society of Instrument and Control Engineers
Identification of Partially Unknown System Matrix of Discrete-Time Stochastic Systems via Pseudomeasurement Approach
Transactions of the Institute of Systems, Control and Information Engineers
Recursive Smoothers for Hidden Discrete-Time Markov Chains
Journal of Applied Mathematics and Stochastic Analysis