STATE DEPENDENT DIFFERENTIAL RICCATI EQUATION FOR NONLINEAR ESTIMATION AND CONTROL

2002 ◽  
Vol 35 (1) ◽  
pp. 405-410 ◽  
Author(s):  
David A. Haessig ◽  
Bernard Friedland
Keyword(s):  
Riccati Equation ◽  
Nonlinear Estimation ◽  
Differential Riccati Equation ◽  
State Dependent ◽  
Estimation And Control ◽  
And Control

scholarly journals Nonlinear Finite-Horizon Regulation and Tracking for Systems with Incomplete State Information Using Differential State Dependent Riccati Equation

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Ahmed Khamis ◽  
D. Subbaram Naidu ◽  
Ahmed M. Kamel
Keyword(s):  
Riccati Equation ◽  
Stochastic Systems ◽  
Finite Horizon ◽  
Guidance System ◽  
State Dependent ◽  
Wide Range ◽  
Linearized System ◽  
Estimation And Control ◽  
Regulation And Tracking ◽  
And Control

This paper presents an efficient online technique used for finite-horizon, nonlinear, stochastic, regulator, and tracking problems. This can be accomplished by the integration of the differential SDRE filter algorithm and the finite-horizon state dependent Riccati equation (SDRE) technique. Unlike the previous methods which deal with the linearized system, this technique provides finite-horizon estimation and control of the nonlinear stochastic systems. Further, the proposed technique is effective for a wide range of operating points. Simulation results of a missile guidance system are presented to illustrate the effectiveness of the proposed technique.

Editorial: Nonlinear estimation and control of BioProcesses

2009 ◽  
Vol 25 (3) ◽  
pp. 605-605
Author(s):  
Alain Vande Wouwer ◽  
Isabelle Queinnec
Keyword(s):  
Nonlinear Estimation ◽  
Estimation And Control ◽  
And Control

scholarly journals Optimal Control of PMSG Based Wind Energy Conversion System using State-Dependent DRE

2020 ◽  
Vol 9 (5) ◽  
pp. 1297-1301
Keyword(s):  
Optimal Control ◽  
Wind Energy ◽  
Energy Conversion ◽  
Riccati Equation ◽  
Wind Energy Conversion System ◽  
Wind Energy Conversion ◽  
Differential Riccati Equation ◽  
State Dependent ◽  
Conversion System ◽  
Energy Conversion System

Generation of electricity from wind is becoming more economical and popular with improved system design with modern control techniques. To capture energy from the inherently variable wind source and converting it into good quality electricity need to use advanced techniques in equipment and control . Since all the subsystems involved in the generation of electricity from wind are highly nonlinear, optimal control using linear models and linear techniques will not be effective. This paper presents a closed loop optimal control for a PMSG based wind energy conversion system using State Dependent Differential Riccati Equation. A suboptimal control is obtained for the non-linear system through differential Riccati equation, which is solved by converting in to linear Lyapunov equation by change of variables in the finite-horizon. The effectiveness of the technique is verified by simulating on MATLAB platform.

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