Abstract
Lie algebra methods are powerful for studying controllability of continuous-time nonlinear systems and most controllability criteria of continuous-time nonlinear systems are Lie-algebraic conditions. However, the Lie-algebraic conditions are in general difficult to verify if the system dimension is high. In this article, we propose a new perspective to study controllability of continuous-time bilinear systems without using the Lie-algebraic conditions. Specifically, we first consider controllability of the bilinear systems in the single-input case under a commutativity condition. We show that, although the Lie algebra rank condition for the homogeneous counterparts, which is necessary for a classical controllability result to work, does not fit such bilinear systems, they can still be controllable. Our approach to proving controllability is using controllability of the discrete-time counterparts of the continuous-time systems, and we derive a necessary and sufficient controllability criterion without the Lie algebra rank condition, which is algebraically verifiable for any finite dimension. More importantly, through this controllability study, we propose a new perspective to deal with the controllability problems of continuous-time bilinear systems by changing the verification of the Lie algebra rank condition to solving two linear algebra problems. That is, we establish a new method beyond Lie algebra methods to controllability of continuous-time bilinear systems. We also generalize the proposed perspective to continuous-time state-affine nonlinear systems to obtain algebraic controllability criteria. Examples are given to illustrate the obtained controllability results of this article.
| Original language | English |
|---|---|
| Pages (from-to) | 2094-2108 |
| Number of pages | 15 |
| Journal | IEEE Transactions on Automatic Control |
| Volume | 68 |
| Issue number | 4 |
| DOIs | |
| State | Published - 1 Apr 2023 |
Keywords
- Bilinear systems
- Lie-algebraic conditions
- continuous-time systems
- controllability
- discrete-time systems
- inhomogeneous systems
- state-affine nonlinear systems
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