Unconstrained receding-horizon control of nonlinear systems
By Ali Jadbabaie, Jie Yu, J. Hauser. IEEE Transactions on Automatic Control, 2001
311 citations recorded by the source corpus.
Subfields: Biochemistry, Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/fa80a8a94891b085bcd6f5e16fc90db04cd3d34a
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biochemistry
In Control and Systems Engineering
- Nathan Michael
- Vijay R. Kumar
- Frank Allgöwer
- Rolf Findeisen
- J. Alexander Fax
- Bjarne A. Foss
- Lars Struen Imsland
- Davide Scaramuzza
Citations in the corpus
- Constrained model predictive control: Stability and optimality (2000, unknown): “Jadbabaie et al. (1999) give a de"nitive and illuminating discussion (in the context of continuoustime systems) of the unconstrained nonlinear problem.”
- Optimal and Cooperative Control of Vehicle Formations (2002, result): “Recent results include Lyapunov-based stability proofs for receding-horizon controllers [53, 85] as well as real-time implementation of aggressive trajectory tracking via optimization based control [37, 76].”
- State and Output Feedback Nonlinear Model Predictive Control: An Overview (2003, methodology): “Examples are the use of a control Lyapunov function as terminal penalty E [45, 75, 84] or the use of a local nonlinear or linear control law to determine a suitable terminal penalty E and a terminal region E [17, 18, 20, 63, 71].”
- Opportunities and challenges with autonomous micro aerial vehicles (2012, background): “Thus, the work on model predictive or receding horizon control (Jadbabaie et al., 2001), and the extensions to decentralized model predictive control (Shim et al., 2003; Keviczky and Johansson, 2008) are relevant to leader–follower formation control for micro-UAVs.”
- An Introduction to Nonlinear Model Predictive Control (2002, background): “[17, 20, 34, 38 , 51, 56, 60, 63]), that try to overcome the use of a zero terminal constraint of the form (9).”
- Output feedback stabilization of constrained systems with nonlinear predictive control (2003, background): “4 are satisfied by various NMPC schemes, such as quasi-infinite horizon NMPC [18, 23], zero terminal constraint NMPC [19] and NMPC schemes utilizing control Lyapunov functions to achieve stability [20, 21].”