Daniele Masti
ABSTRACT
Optimizing the performance of complex systems has always been a central issue for the control theory community. However, ideas and tools from this field often require very precise assumptions and extensive tuning to perform well, making them unsuited for a non-specialist practitioner.
In recent times, however, the influx of the machine learning community has brought a wave of renewal in the field, making many of these powerful methods finally applicable outside academic examples.
In this talk, I will discuss my journey at the border between control theory and machine learning, from classical system identification and model-based control to modern autotuning data-driven techniques. I will also shed light on how this novel generation of much more user-friendly techniques can easily be applied to improve the performance of a large class of systems, including software ones.
Index Terms
- Let's Take Back Control: A Journey through a Novel Generation of Control Techniques for Performance Engineering
Recommendations
Control configuration and control enactment in information systems projects: review and expanded theoretical framework
The control of information systems (IS) projects is a key activity for deployment of information technology (IT) resources and ultimately for value creation through IT. For the last 20 years, research on IS project control has grown to cover a wide ...
Challenges in Applying Control Theory to Software Performance Engineering for Adaptive Systems
ICPE '16 Companion: Companion Publication for ACM/SPEC on International Conference on Performance EngineeringControl theory has recently started to be applied to software engineering domain, mostly for managing the behavior of adaptive software systems under external disturbances. In general terms, the main advantage of control theory is that it can be ...
Time-optimal control of multivariable systems near the origin
This article deals with bang-bang solutions of linear time-optimal control problems. Linear multivariable systems are considered which have one or more control components. It is shown in which way the control components act together to make the system ...
Comments