@inbook {1873, title = {Advances in PID Control}, year = {2011}, pages = {85{\textendash}100}, publisher = {INTECH}, organization = {INTECH}, chapter = {From Basic to Advanced PI Controllers: A Complexity vs. Performance Comparison}, keywords = {Robotics}, isbn = {9789533072678}, author = {A. Balestrino and A. Caiti and V. Calabr{\`o} and E. Crisostomi and A. Landi} } @article {1547, title = {HEMET: mathematical model of biochemical pathways for simulation and prediction of HEpatocyte METabolism}, journal = {COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE}, volume = {92}, year = {2008}, pages = {121{\textendash}134}, keywords = {Bioengineering}, issn = {0169-2607}, author = {C. De Maria and GRASSINI, D and Vozzi, F. and Vinci, B. and A. Landi and A. Ahluwalia and G. Vozzi} } @article {1280, title = {Osmolality control by inhalation or micro-infusions?}, journal = {WIT Transactions on Biomedicine and Health}, volume = {9}, year = {2005}, pages = {559-570}, abstract = {

A model of osmolarity is proposed in this paper. This model represents a typical example of embedded physiological feedback control in physiology. Extensive simulation tests with a compartmental approach (using the specific software SAAM II) have been performed, showing that the model agrees with the findings published in the literature of endocrine physiology and with medical practice. As a relevant example of application of the models, the diabetes insipidus pathology was considered. In the case of central insipidus diabetes, it is possible to predict effects of a therapy, giving out synthetic ADH (where ADH is the antidiuretic hormone, the vasopressine) for restoring homeostatic conditions. Two kinds of therapy were considered: supply by inhalation or by microinfusion. In the first case, we evaluated the effect of inhalation using a two compartmental model to describe the effect of commercial drug (minirin, that means desmopressine acetate), and compared results with data existing in the literature. In the second case, the aim was to have a helping tool in the study and development of micro-infusors with sensors and controllers embedded so as to be able to release a controlled drug quantity, accorded to the patient and optimized for avoiding hyper- or ipo-concentrations of plasma ADH hormone. In this case, we used a mono-compartmental model, considering that the drug is infused directly in the plasma; results are again compared with data existing in the literature and with experimental data.

}, keywords = {Bioengineering}, author = {Ciofani, G. and A. Landi and D. Mazzei and A. Mazzoldi} } @conference {1266, title = {Physiological Cybernetics: Model of Osmolality and Volemia}, booktitle = {Proc. and 2005 European Control Conf. Decision and Control CDC-ECC {\textquoteright}05. 44th IEEE Conf}, year = {2005}, pages = {5552{\textendash}5557}, keywords = {Bioengineering}, doi = {10.1109/CDC.2005.1583046}, author = {Ciofani, G. and A. Landi and D. Mazzei and A. Mazzoldi} } @conference {BBLP93, title = {A variable structure approach to force/motion control of robot manipulators}, booktitle = {Proc. Int. Conf. FAST - BIAS}, year = {1993}, address = {Milan, Italy, November 23-25 1993}, keywords = {Robotics}, author = {A. Balestrino and A. Bicchi and A. Landi and D Prattichizzo} } @conference {1879, title = {Adaptive neural state observer for unknown non linear plants}, booktitle = {IMACS/SICE International Symposium on Robotics, Mechatronics and Manufacturing Systems}, year = {1992}, address = {Kobe, Japan, Sep 16-20 1992}, keywords = {Robotics}, author = {Bini Verona, F and A. Bicchi and De Gasperis, G. and A. Landi and G. Silvestri} } @conference {BBL92, title = {Trajectory Planning of Industrial Robots in a Structured Environment}, booktitle = {Int. Conf. on CAD/CAM, Robotics and Factories of the Future}, year = {1992}, address = {Metz, France}, keywords = {Embedded Control, Robotics}, author = {A. Balestrino and A. Bicchi and A. Landi} }