Control principles of complex systems
A reflection of our ultimate understanding of a complex system is our ability to control its
behavior. Typically, control has multiple prerequisites: it requires an accurate map of the …
behavior. Typically, control has multiple prerequisites: it requires an accurate map of the …
Disturbance observer design for nonlinear systems represented by input–output models
A new approach to the design of nonlinear disturbance observers (DOBs) for a class of
nonlinear systems described by input-output differential equations is presented in this paper …
nonlinear systems described by input-output differential equations is presented in this paper …
Visual-inertial sensor fusion: Localization, map** and sensor-to-sensor self-calibration
Visual and inertial sensors, in combination, are able to provide accurate motion estimates
and are well suited for use in many robot navigation tasks. However, correct data fusion, and …
and are well suited for use in many robot navigation tasks. However, correct data fusion, and …
Fault detection and isolation in nonlinear systems
This paper deals with fault detection and identification in dynamic systems when the system
dynamics can be modeled by smooth nonlinear differential equations including affine …
dynamics can be modeled by smooth nonlinear differential equations including affine …
Fixed-time observer with simple gains for uncertain systems
In this article, we consider the problem of fixed-time observer for nonlinear systems, that is a
finite-time observer whose settling time can be bounded independently of the initial …
finite-time observer whose settling time can be bounded independently of the initial …
A theoretical framework for controlling complex microbial communities
Microbes form complex communities that perform critical roles for the integrity of their
environment or the well-being of their hosts. Controlling these microbial communities can …
environment or the well-being of their hosts. Controlling these microbial communities can …
Differential elimination for dynamical models via projections with applications to structural identifiability
Elimination of unknowns in a system of differential equations is often required when
analyzing (possibly nonlinear) dynamical systems models, where only a subset of variables …
analyzing (possibly nonlinear) dynamical systems models, where only a subset of variables …
A global high-gain finite-time observer
A global finite-time observer is designed for nonlinear systems which are uniformly
observable and globally Lipschitz. This result is based on a high-gain approach combined …
observable and globally Lipschitz. This result is based on a high-gain approach combined …
Structural accessibility and structural observability of nonlinear networked systems
The classical notions of structural controllability and structural observability are receiving
increasing attention in Network Science, as they provide a mathematical basis to understand …
increasing attention in Network Science, as they provide a mathematical basis to understand …
Visual-inertial simultaneous localization, map** and sensor-to-sensor self-calibration
Visual and inertial sensors, in combination, are well-suited for many robot navigation and
map** tasks. However, correct data fusion, and hence overall system performance …
map** tasks. However, correct data fusion, and hence overall system performance …