Enrico Canuto taught Automatic Control for more than 40 years at Politecnico di Torino, Italy. He developed and applied the embedded model control methodology for the design and implementation of digital control systems. Over the course of his career, he has contributed to data reduction of the European astrometric mission Hipparcos, concluding with the publication of the Hipparcos star Catalogue of 120,000 stars; to the European GOCE mission and other forthcoming missions; to instruments for space qualification like the Nanobalance thrust-stand. In the last ten years, he has also collaborated with the Center for Gravity Experiments, Huazhong University of Science and Technology, Wuhan, and the Tianqin Centre, Sun-Yat-Sen University, Zhuhai, China, in the field of scientific space missions aimed at detecting gravitational waves.Carlo Novara received his MSc degree in Physics from the University of Turin in 1996 and his PhD degree in Computer and System Engineering from Politecnico di Torino in 2002. He held a visiting researcher position at University of California at Berkeley in 2001 and 2004 and is currently a Full Professor at Politecnico di Torino. He is a really prolific author of peer-reviewed scientific publications in international journals and conference proceedings. He has been involved in several national and international projects and in several research contracts in collaboration with Italian and European companies. He is the co-author of several patents in the automotive field. He is a member of the IEEE Technical Committee on System Identification and Adaptive Control, of the IFAC Technical Committee on Modelling, Identification and Signal Processing, of the IFAC Technical Committee on Modelling and Control of Environmental Systems, and a founding member of the IEEE-CSS Technical Committee on Medical and Healthcare Systems. His research interests include nonlinear and linear parameter-varying system identification, filtering/estimation, time series prediction, nonlinear control, predictive control, data-driven methods, set membership methods, sparse methods, nonlinear optimization, and aerospace, automotive, biomedical, and energy applications. Luca Massotti received his MSc and PhD degrees in Aerospace Engineering from Politecnico di Torino in 2000 and 2004 respectively. In 2001-2002, he was a visiting researcher at West Virginia University to study aircraft modelling and neural network controllers. In 2004, he joined Thales Alenia Space in Turin as an engineering consultant for metrology and AOCS. From 2005 to 2007, he was a post-doctoral researcher within the Earth Observation Programs of the European Space Agency at the ESTEC facility in the Netherlands, where he currently works as a system engineer for the Future Missions and Instruments division. He is actively involved in the ESA Technology Research Program, either in procurement of activities or the review phases, especially in the domain of micro-propulsion (either cold gas or electric propulsion), laser metrology, ultra-sensitive accelerometers, drag-free/compensation and fine AOCS. His research interests include aircraft and satellite modeling and simulation, nonlinear and adaptive control design, artificial intelligence techniques, nano-balancing, AOCS, drag-free and attitude control for scientific satellites. Dr. Massotti has been appointed as coordinator of the Inter-Agency Working Group between ESA and NASA on gravity topics; he is a member of the ESA/NASA JET (Joint Engineering Team) and a Member of the AIAA GNC Technical Committee, and an AIAA Associate Fellow. Michele Pagone received his BSc and MSc degrees in Aerospace/Astronautical Engineering and his PhD in Electrical, Electronics, and Communications Engineering from Politecnico di Torino, in 2014, 2016, and 2022 respectively. He has authored about 20 peer-reviewed scientific publications in international journals and conference proceedings. He has been involved in several national and international projects in collaboration with Italian and European companies, including the European Space Agency and Thales Alena Space Italy. He is a member of the IEEE Control System Society. His research interests include nonlinear systems, nonlinear and robust model predictive control, game theory, optimization, system stability with applications to space flight mechanics, orbit and attitude control systems, automotive and energy fields.Carlos Perez-Montenegro received his MSc degree in Electronic Engineering from Pontificia Universidad Javeriana in 2007, followed in 2014 by a PhD in Computer and Control Engineering from the Department of Control and Computer Engineering of Politecnico di Torino. His research interests span the fields of guidance, navigation, and control (GNC), with a focus on applications to planetary landing systems and unmanned aerial systems. Currently, he is designing and implementing control and estimation systems for service instruments of the automotive industry.

• 1. Introduction2. Attitude Geometry and Representation3. Geometric Attitude Determination4. Orbit and Formation Dynamics5. The Environment: Perturbing Forces and Torques6. Attitude Kinematics: Modeling and Feedback7. Attitude Dynamics: Modeling and Control8. Orbit and Attitude Sensors9. Orbit and Attitude Actuators10. Orbital Control and Prediction Problems11. Attitude Control: the GOCE Mission Case Study12. Drag-free and Attitude Control: Next-Generation Gravity Missions13. Drag-free and Attitude Control: Gravitational Wave Missions14. Introduction to Embedded Model Control