Constraint propagation with interval labels
Artificial Intelligence
Consistency Techniques in Ordinary Differential Equations
CP '98 Proceedings of the 4th International Conference on Principles and Practice of Constraint Programming
Brief paper: A set-membership state estimation algorithm based on DC programming
Automatica (Journal of IFAC)
Brief paper: Rigorous parameter reconstruction for differential equations with noisy data
Automatica (Journal of IFAC)
A nonlinear set membership approach for the localization and map building of underwater robots
IEEE Transactions on Robotics
Reliable Robust Path Planning with Application to Mobile Robots
International Journal of Applied Mathematics and Computer Science - Verified Methods: Applications in Medicine and Engineering
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
SIAM Journal on Scientific Computing
Localization of an underwater robot using interval constraint propagation
CP'06 Proceedings of the 12th international conference on Principles and Practice of Constraint Programming
Brief paper: Set-membership state estimation with fleeting data
Automatica (Journal of IFAC)
Truncation nonlinear filters for state estimation with nonlinear inequality constraints
Automatica (Journal of IFAC)
Nonlinear predictive control using constraints satisfaction
COCOS'03 Proceedings of the Second international conference on Global Optimization and Constraint Satisfaction
Automatica (Journal of IFAC)
Constraints propagation techniques on intervals for a guaranteed localization using redundant data
Automatica (Journal of IFAC)
Brief Guaranteed state estimation by zonotopes
Automatica (Journal of IFAC)
Interval estimation for LPV systems applying high order sliding mode techniques
Automatica (Journal of IFAC)
Interval state observer for nonlinear time varying systems
Automatica (Journal of IFAC)
Bounds on the reachable sets of nonlinear control systems
Automatica (Journal of IFAC)
Hi-index | 22.16 |
This paper presents a first study on the application of interval analysis and consistency techniques to state estimation of continuous-time systems described by nonlinear ordinary differential equations. The approach is presented in a bounded-error context and the resulting methodology is illustrated by an example.