The use of aerial swarms to solve real-world problems has been increasing steadily,
accompanied by falling prices and improving performance of communication, sensing, and …

We review the main design techniques of state observer design for continuous-time
dynamical systems, namely algorithms which reconstruct online the full information of a …

Learning-enabled control systems have demonstrated impressive empirical performance on
challenging control problems in robotics, but this performance comes at the cost of reduced …

Numerous mobile robots in various forms specialize in either ground or aerial locomotion,
whereas very few robots can perform complex locomotion tasks beyond simple walking and …

Real-world networks often consist of millions of heterogenous elements that interact at
multiple timescales and length scales. The fields of statistical physics and control theory both …

In this paper, we mainly review the topics in consensus and coordination of multi-agent
systems, which have received a tremendous surge of interest and progressed rapidly in the …

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 …

A new framework is developed for control of constrained nonlinear systems with structured
parametric uncertainty. Forward invariance of a safe set is achieved through online …

Nonlinear dynamical systems have been used in many disciplines to model complex
behaviors, including biological motor control, robotics, perception, economics, traffic …

The emergence of synchronization in a network of coupled oscillators is a fascinating
subject of multidisciplinary research. This survey reviews the vast literature on the theory …