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This study presents a novel neural network (NN)-based non-linear adaptive control strategy for the global stability of multi-input–multi-output state-control homogeneous bilinear system (BLS) at the equilibrium position. Although this class of non-linear system is neither piecewise nor feedback linearisable, conditionally stabilisable control system design can be utilised to generate multiple state transitions and corresponding control gains. The collected data was used to train a NN to obtain an optimal gain estimator. Then the optimal gain estimator was integrated into real-time control system operation to adaptively compute control gains, ensuring that the controller is continuously adjustable to changing behaviour of the system. The proposed design was shown, through an illustrative example, to overcome the stability limitations of traditional controllers for the investigated class of BLS. Furthermore, discussions about the utility of the traditional control and learning system integration, as well as stability analysis of the proposed scheme were presented.

The possibility to include practical training sessions in online learning systems is important to increase the value of engineering courses. This paper presents a work in progress focusing on integrating a remote laboratory system in an existing online learning environment so that, through the use of a simple web browser, students can develop both theoretical and practical skills at the same time. The proposed architecture builds on our Free Architecture for Remote Education (FARE), which is a learning management system designed to foster collaboration and sharing of resources between participants. We seamlessly integrate in FARE all the necessary software for practical remote laboratory experiences. We believe that this synergy can provide significant advantages on traditional remote laboratory approaches: integration and automatic resource reuse can help students to have a simplified interaction with the laboratory and focus on the most important parts of the practical activities.