Optimal control of networked and transportation systems.
- Published in:
- Optimal Control - Applications & Methods, 2022, v. 43, n. 1, p. 2, doi. 10.1002/oca.2842
- By:
- Publication type:
- Article
Works in Optimal Control - Applications & Methods, 2022, Vol 43, Issue 1
Results: 18
1
2
ALADIN‐α—An open‐source MATLAB toolbox for distributed non‐convex optimization.
- Published in:
- Optimal Control - Applications & Methods, 2022, v. 43, n. 1, p. 4, doi. 10.1002/oca.2811
- By:
- Publication type:
- Article
3
Optimal leader‐follower affine formation control of linear multi‐agent systems.
- Published in:
- Optimal Control - Applications & Methods, 2022, v. 43, n. 1, p. 304, doi. 10.1002/oca.2802
- By:
- Publication type:
- Article
4
Optimization of time‐varying feedback controller parameters for freeway networks.
- Published in:
- Optimal Control - Applications & Methods, 2022, v. 43, n. 1, p. 65, doi. 10.1002/oca.2796
- By:
- Publication type:
- Article
5
Communication‐based predictive energy management strategy for a hybrid powertrain.
- Published in:
- Optimal Control - Applications & Methods, 2022, v. 43, n. 1, p. 86, doi. 10.1002/oca.2795
- By:
- Publication type:
- Article
6
Performance‐based optimal control for stochastic nonlinear systems with unknown dead‐zone.
- Published in:
- Optimal Control - Applications & Methods, 2022, v. 43, n. 1, p. 283, doi. 10.1002/oca.2794
- By:
- Publication type:
- Article
7
A local dynamic extreme learning machine based iterative learning control of nonlinear batch process.
- Published in:
- Optimal Control - Applications & Methods, 2022, v. 43, n. 1, p. 257, doi. 10.1002/oca.2788
- By:
- Publication type:
- Article
8
Robust extended Kalman filtering for nonlinear systems in the presence of unknown inputs and correlated noises.
- Published in:
- Optimal Control - Applications & Methods, 2022, v. 43, n. 1, p. 243, doi. 10.1002/oca.2786
- By:
- Publication type:
- Article
9
Robust finite frequency H∞ static output feedback control for uncertain fuzzy systems via a sum‐of‐squares approach.
- Published in:
- Optimal Control - Applications & Methods, 2022, v. 43, n. 1, p. 158, doi. 10.1002/oca.2785
- By:
- Publication type:
- Article
10
Adaptive critic optimization to decentralized event‐triggered control of continuous‐time nonlinear interconnected systems.
- Published in:
- Optimal Control - Applications & Methods, 2022, v. 43, n. 1, p. 198, doi. 10.1002/oca.2784
- By:
- Publication type:
- Article
11
Rotor imbalance suppression by optimal control.
- Published in:
- Optimal Control - Applications & Methods, 2022, v. 43, n. 1, p. 213, doi. 10.1002/oca.2780
- By:
- Publication type:
- Article
12
Control of a consumer‐resource agent‐based model using partial differential equation approximation.
- Published in:
- Optimal Control - Applications & Methods, 2022, v. 43, n. 1, p. 178, doi. 10.1002/oca.2778
- By:
- Publication type:
- Article
13
Optimal scheduling and control for constrained multi‐agent networked control systems.
- Published in:
- Optimal Control - Applications & Methods, 2022, v. 43, n. 1, p. 23, doi. 10.1002/oca.2777
- By:
- Publication type:
- Article
14
DC microgrid fault‐tolerant control using state‐dependent Riccati equation techniques.
- Published in:
- Optimal Control - Applications & Methods, 2022, v. 43, n. 1, p. 123, doi. 10.1002/oca.2776
- By:
- Publication type:
- Article
15
Minimum norm partial eigenstructure assignment problems in high‐order system via feedback control.
- Published in:
- Optimal Control - Applications & Methods, 2022, v. 43, n. 1, p. 138, doi. 10.1002/oca.2774
- By:
- Publication type:
- Article
16
Multi‐innovation gradient parameter estimation for multivariable systems based on the maximum likelihood principle.
- Published in:
- Optimal Control - Applications & Methods, 2022, v. 43, n. 1, p. 106, doi. 10.1002/oca.2766
- By:
- Publication type:
- Article
17
Issue Information.
- Published in:
- Optimal Control - Applications & Methods, 2022, v. 43, n. 1, p. 1, doi. 10.1002/oca.2737
- Publication type:
- Article
18
Supervised model predictive control of large‐scale electricity networks via clustering methods.
- Published in:
- Optimal Control - Applications & Methods, 2022, v. 43, n. 1, p. 44, doi. 10.1002/oca.2725
- By:
- Publication type:
- Article