Shaosong Wan
ABSTRACT
This paper compares AEKF with EKF. Because the fuzzy logic has a processing nonlinear, time-variety and indetermination ability, and then have to blend expert the ability of inspire type experience, and can carry out many targets reason logically and make use of the fuzzy intelligence technique blends expert the ability of inspire type experience, will to the request of trajectory, lead carry of restriction and target of random mobile, the target characteristic and characteristic etc. integrates to make to lead a rule database in, is making sure guided missile attack for the reasoning logically(the intelligence is excellent to turn) of the object best path can well consider these factors in the process, the realization precision leads to control with precision. Pass continuously an enlargement, modify, perfect make to lead rule of database, gradually exaltation make the intelligence level and independent ability of leading the system, can form the fuzzy intelligence system of a set of integrity to lead a system design method. This text is drawn up the combination leads the foundation of leading the Lyn up, adopt fuzzy logic controller realization, pass the establishment of rule database, imbed expert's experience, embody a comparison item in the different rule exportation and before place the Cape item variety that navigates a ratio, approach a modern to lead to lead Lyn further in of the best make to lead to increase a benefit of value, make it embody intelligence behavior.
- Ahmed N U and Radaideh S M (2018). Modified Extended Kalman Filtering[C]. IEEE Transactions on Automatic Control, 39(6), 1322--1326.Google Scholar
Cross Ref
- Jazwinski A H (1970). Stochastic Processes and Filtering Theory[M]. New York: Academic.Google Scholar
- Wiberg D M (2019). The MIMO Wiberg Estimator[C]. Proceedings of the 28th IEEE Conference on Decision and Control, Tampa, 2590--2594.Google Scholar
- Lewis F L (1999). Optimal control. New York: A Wiley-interscience Publication John Wiley & Sons.Google Scholar
- Taylor L Hughes (2017). Integrated missile guidance law and auto-pilot design using linear optimal control. AIAA guidance, navigation and control conference and exhibition, AIAA-2009-4163.Google Scholar
- Hangju Cho (2019). Implementation of optimal guidance law using predicted missile velocity profiles. Journal of Guidance, Control and Dynamics, Vol. 22, No. 4, 579--588.Google Scholar
- Lin C F, et al. (2018). Optimal design of integrated missile guidance and control. Proceeding of the world aviation conference, Anaheim, CA. Vol. 2, No. 1, pp. 72--77.Google Scholar
- Sun Xiuxia, Mao Jianqin and Lin Yan (2017). Multi-objective controller design using Eigen structure assignment based on LMI. Chinese Journal of Aeronautics, Vol. 14, No. 1, 44--48.Google Scholar
- D Chwa and J Y Choi (2017). New Parametric Affine Modeling and Control for Skid-to-Turn Missiles. IEEETransactions on Control Systems Technology, Vol. 9, No. 2, pp. 335--347.Google ScholarCross Ref
Index Terms
- Comparison Research between AEKF and EKF on Application of Fuzzy Controller
Recommendations
A comparative study of type-1 fuzzy logic systems, interval type-2 fuzzy logic systems and generalized type-2 fuzzy logic systems in control problems
This paper presents a comparative study of type-2 fuzzy logic systems with respect to interval type-2 and type-1 fuzzy logic systems to show the efficiency and performance of a generalized type-2 fuzzy logic controller (GT2FLC). We used different types ...
Generalized Type-2 Fuzzy Systems for controlling a mobile robot and a performance comparison with Interval Type-2 and Type-1 Fuzzy Systems
A Generalized Type-2 Fuzzy Controller (GT2FC) was developed.Simulation of a GT2FC for a mobile robot is presented.Experiments support the notion that GT2FC handles more uncertainty. The aim of this paper is to show that a Generalized Type-2 Fuzzy ...
Some properties of fuzzy reasoning in propositional fuzzy logic systems
In order to analyze the logical foundation of fuzzy reasoning, this paper first introduces the concept of generalized roots of theories in Lukasiewicz propositional fuzzy logic Luk, Godel propositional fuzzy logic God, Product propositional fuzzy logic @...
Comments