IFAC-PapersOnLine最新文献

In this paper, we introduce a metric to evaluate the equity in mobility and a routing framework to enhance the metric within multi-modal intelligent transportation systems. The mobility equity metric (MEM) simultaneously accounts for service accessibility and transportation costs to quantify the equity and fairness in a transportation network. Finally, we develop a system planner integrated with MEM that aims to distribute travel demand for the transportation network, resulting in a socially optimal mobility system. Our framework results in a transportation network that is efficient in terms of travel time, improves accessibility, and ensures equity in transportation.

As environmental concerns grow, Electric Vehicles (EVs) are becoming essential for sustainable urban Traffic. Some countries plan to phase out conventional vehicles to cut carbon emissions. Yet, challenges include a lack of charging infrastructure and potential strain on power networks. EVs could benefit by integrating Vehicle-to-Grid connections. To leverage e-flexibility, modeling EV power requirements and mobility patterns is crucial. The paper presents eMob-Twin, a digital twin, combining urban EV mobility with an energy model, aiding simulations with fine granularity including charging stations, its potential connections with the Grid and electricity markets. We present details of the structure and operation of eMob-Twin and some examples of their utility in connection with user cases such as impact of the EVs penetration rate, and optimal locations of charge stations.

This paper examines the imperative of LGBTQ+ equity, diversity and inclusion within organizations like IFAC. It highlights IFAC’s commitment to integrating D&I principles into its activities and decision making. This paper explores the intersection of LGBTQ+ experiences with automation and control systems, emphasizing ongoing challenges faced by LGBTQ+ individuals. Methodological considerations for D&I research in LGBTQ+ communities are discussed, advocating for direct engagement and participative qualitative approaches. The paper addresses the marginalization of LGBTQ+ digital culture and the role of AI in perpetuating biases. With this in mind it underscores the need to expand D&I efforts to encompass equity, fostering a sense of belonging for all individuals within organizations and communities. Through these insights, the paper contributes to the ongoing discourse on promoting inclusivity and equity in professional and academic spheres. It also offers methodological guidelines for those conducting scholarly studies including the LGBTQ+ community in an automated world.

The rise of low-altitude passenger and delivery aircraft in urban areas will revolutionize urban mobility, requiring air mobility (AM) systems. This paper provides an overview of AM operations and simulation tools to facilitate research and development. It proposes a software structure for a simulation tool that can model and replicate the behavior of AM systems. By setting the foundation for AM tools and exploring varied concepts, this paper aims to inspire breakthrough research in this cutting-edge domain.

This paper investigates a new stability criterion for generalized (Q,S,R) — α dissipativity for externally interfered discrete systems with saturation overflow nonlinearity. The proposed criterion is capable of establishing various specific criteria for H_∞, mixed H_∞/passivity, and passivity performances in an integrated system through manipulation in weight matrices. Further, an exponential stability criterion for the discrete system with generalized dissipativity is also presented. To facilitate the ease of traceability, the proposed conditions are built in terms of linear matrix inequality. Appropriate numerical examples are used to support the validity of the proposed work.

Mathematical Modeling of glucose-insulin dynamics of Type-1 Diabetic Mellitus (T1DM) patients is an essential component of designing and developing Artificial Pancreas Systems. These model parameters, which exhibit significant inter-patient variability, are identified for each individual T1DM patient through standard tolerance tests. However, in addition to the inter-patient variability, each patient's model parameters vary according to the circadian rhythm. Therefore, the blood glucose response to a meal is different at breakfast when compared to lunch and dinner. In addition to this, the glucose-insulin dynamics vary when the T1DM patient exercises or during any physical activity. To account for these intra-patient variabilities and the variability due to exercise, a neuro-adaptive learning scheme is proposed in this work. The uncertainties are approximated as a product of a weight and a meaningful basis function. The model uncertainties are learned during meals and idle activity, whereas exercise learning requires an announcement from the patient and is only learned when the patient is exercising. This neuroadaptive learning scheme can prove to be of vital importance in designing model-based control laws for blood glucose regulation in Type-1 Diabetic patients.

Meeting the delivery commitments is important for the success of any business. On the other hand, balancing other resources is also essential for business sustainability. This work provides a conceptual framework to make an optimization model to optimize the on-time delivery (OTD) for an Assemble-to-order (ATO) Production System. OTD optimization model is given by considering the delivery penalty, overtime working, manpower cost, and production item set-up time. The proposed model is helpful while making the daily production plan and work schedule of a multi-model assembly line. Furthermore, the optimization model is a integration of prediction and assembly line optimization models. Learning-based techniques are adopted to make the prediction model. Assembly line worker assignment and workload balancing algorithms are adopted to optimize the workforce or manpower cost. A use case illustration is given to understand the research scope better.

The magnetic levitation (Maglev) is a highly nonlinear and unstable system. Hence, it requires advanced and effective control mechanism. In this work, a cascaded and feedforward control strategy is designed for Maglev. Internal model control (IMC)-based proportional-integral (PI) and proportional-integral-derivative (PID) controllers are designed for the inner and outer loops. The feedforward controller is designed as a proportional controller which is decided based on the desired equilibrium point. Guidelines for selecting the adjustable IMC parameters for inner and outer loops are provided. Experimentally obtained closed-loop responses of the Maglev setup are compared using three different control strategies: proposed cascaded with feedforward, feedback with feedforward and pure feedback. It is vindicated that the proposed cascaded with feedforward strategy outperforms the other two strategies in terms of quantitative error metric, integral square error (ISE) and tracking the desired setpoint (ball position).

A lightweight, flexible solar high altitude platform station (HAPS) is currently under development at CSIR-NAL. This paper presents the development of primary control laws for the sub-scale model of NAL-HAPS. At the outset, top-level control design requirements are identified. Thereafter, longitudinal and lateral-directional control laws are systematically developed from classical feedback control techniques. Stability analysis and nonlinear simulation results are presented to demonstrate the efficacy of the control laws in meeting the design requirements. The importance of aeroelastic modeling in the design of feedback control laws is briefly addressed.

Part I of this paper introduced a tracking control law based on the Immersion and In-variance (I&I) technique. This paper focuses on the stability analysis of the proposed controller, which constitutes the central contribution of this work. The stability is established through the application of Lyapunov theory. Additionally, the robustness of the proposed control approach in the context of parametric uncertainties and underwater disturbances using simulated studies is assessed. These simulations utilize the ODRA-I AUV's experimentally validated pitch and yaw motion parameters. Furthermore, comparative evaluations are conducted to benchmark the performance of our suggested control law against established controllers.