Frontmatter.
- Published in:
- Automatisierungstechnik, 2025, v. 73, n. 6, p. i, doi. 10.1515/auto-2025-frontmatter6
- Publication type:
- Article
Works matching IS 01782312 AND DT 2025 AND VI 73 AND IP 6
Results: 9
1
2
Data-driven and learning-based control – perspectives and prospects.
- Published in:
- 2025
- By:
- Publication type:
- Editorial
3
Data-driven feedback optimization for particle accelerator application.
- Published in:
- Automatisierungstechnik, 2025, v. 73, n. 6, p. 429, doi. 10.1515/auto-2024-0170
- By:
- Publication type:
- Article
4
Two-component controller design to safeguard data-driven predictive control: A tutorial exemplified with DeePC and Koopman MPC.
- Published in:
- Automatisierungstechnik, 2025, v. 73, n. 6, p. 383, doi. 10.1515/auto-2024-0166
- By:
- Publication type:
- Article
5
Robustness of online identification-based policy iteration to noisy data.
- Published in:
- Automatisierungstechnik, 2025, v. 73, n. 6, p. 398, doi. 10.1515/auto-2024-0164
- By:
- Publication type:
- Article
6
Learning-based model identification for greenhouse climate control.
- Published in:
- Automatisierungstechnik, 2025, v. 73, n. 6, p. 451, doi. 10.1515/auto-2024-0163
- By:
- Publication type:
- Article
7
Koopman-based control of nonlinear systems with closed-loop guarantees.
- Published in:
- Automatisierungstechnik, 2025, v. 73, n. 6, p. 413, doi. 10.1515/auto-2024-0162
- By:
- Publication type:
- Article
8
Towards explainable data-driven predictive control with regularizations.
- Published in:
- Automatisierungstechnik, 2025, v. 73, n. 6, p. 365, doi. 10.1515/auto-2024-0161
- By:
- Publication type:
- Article
9
Application of stochastic model predictive control for building energy systems using latent force models.
- Published in:
- Automatisierungstechnik, 2025, v. 73, n. 6, p. 441, doi. 10.1515/auto-2024-0160
- By:
- Publication type:
- Article