The cover image is based on the Research Article Consensus control of output-constrained multi-agent systems with unknown control directions under a directed graph by Gang Wang et al., https://doi.org/10.1002/rnc.4852.

The paper shows that the immersion and invariance (I&I) technique, which is widely popular for stabilization,state estimation, and adaptive control of nonlinear systems, can be used for orbital stabilization. As usual with the I&I method, a large flexibility exists in the election of target dynamics and the definition of the manifold that is rendered attractive and invariant, which can be exploited to simplify the controller design. The feasibility of the proposed method is illustrated with some classical mechanical and power electronics systems.

With the help of dynamics decomposition and combination, the critic-learning-based robust stabilization in the presence of disturbed terms in both the internal dynamics and the input matrix has been attained. The critic weight can be initialized to be zero, in order to facilitate the learning activity of the involved neural control design. The application scope of the neural critic learning method is broadened to more general uncertain dynamics while the adaptive critic implementation of the weight training process is simplified in this article.