Vehicle platooning for highway driving has many benefits, such as lowering fuel consumption, improving traffic safety, and reducing congestion. However, its performance could be undermined due to uncertainty. This work proposes a new control method that combines distributed stochastic model predictive with Taguchi's robustness (TR-DSMPC) vehicle platooning. The proposed inherits the advantages of both (maximizing mean minimizing variation uncertainty) (ensuring specific reliability level)....

Objective: To explore the barriers and management needs of pre-examination triage nurses in emergency departments assessing suicide risk patients. Methods: Using descriptive phenomenology, this study performed semi-structured in-depth interviews with two third grade Class-A hospitals Baoding City from September 10 to October 1, 2023. The thematic analysis phenomenological data was conducted using Colaizzi’s seven steps method. Results: According interview 14 nurses, identified three themes...

<div class="section abstract"><div class="htmlview paragraph">In the dense fabric of urban areas, electric scooters have rapidly become a preferred mode transportation. As they cater to modern mobility demands, present significant safety challenges, especially when interacting with pedestrians. In general, e-scooters are suggested be ridden in bike lanes/sidewalks or share road cars at maximum speed about 15-20 mph, which is more flexible and much faster than pedestrians...

Proactive management holds the promise of taking corrective actions in advance service disruptions. Achieving this goal requires predictive models so that potential problems can be anticipated. Our approach builds on previous research which HTTP operations per second are studied a Web server. As prior work, we model as two subprocesses, (deterministic) trend subprocess and (random but stationary) residual subprocess. Herein, is enhanced by using low-pass filter. Further, employ techniques...

This paper proposes a standalone distributed hybrid power system which consists of solar power, wind battery storage and the load. A control strategy is introduced to maximize simultaneous energy harvesting from both renewable sources. The controller results in five contingencies considering level generation available at each source state charge battery. Power converters interface with common DC bus. interfacing converter controlled either as current or voltage source. supervisory proposed...

Road departure prevention systems (RDPSs) for mitigating/avoiding road crashes have been developed and equipped in some high-end production vehicles recent years. In order to provide a standardized objective performance evaluation of RDPSs, this paper describes the test scenario development associated data acquisition postprocessing systems. Seven key variables are identified analyzed, their possible values used describe most representative scenarios on both straight roads curved roads. The...

Vehicle collision avoidance system (CAS) is a control that can guide the vehicle into collision-free safe region in presence of other objects on road. Common CAS functions, such as forward-collision warning and automatic emergency braking, have recently been developed equipped production vehicles. However, these CASs focus mitigating or avoiding potential crashes with preceding cars objects. They are not effective for crash scenarios vehicles from rear-end lateral directions. This paper...

This paper proposes a prototype in-vehicle highway back-of-queue alerting system that is based on an Android-based smartphone app, which capable of delivering warning information to on-road drivers approaching traffic queues. To evaluate the effectiveness this system, subjects were recruited participate in designed test scenarios driving simulator. The include three types (no alerts, roadside and auditory alerts), driver states (normal, distracted, drowsy), two weather conditions (sunny...

This paper proposes a novel trajectory tracking control method using robust model predictive (RMPC) design technique based on matrix inequality and the theoretical approach of hybrid & switched system. Firstly, considering bounded uncertainties norm-bounded external disturbances, system states matrices are modified. In addition, vehicle time-varying longitudinal speed is considered, lateral dynamic Linear Parameter Varying (LPV) established by utilizing polytope with finite vertices. Then...

This paper proposes a sliding mode extremum seeking control (SM-ESC) for maximum power point tracking (MPPT) in variable speed wind energy conversion system, which includes the permanent magnet synchronous generator (PMSG), uncontrolled rectifier, boost converter, battery and DC constant load (CPL). The presented MPPT method integrates theory of control. It refrains from some disadvantages traditional methods, such as detecting gradient output vs. rotor speed, longer transient response, high...

This paper presents a novel distributed nonlinear model predictive control (DNMPC) for minimizing velocity tracking and spacing errors in heterogeneous vehicle platoon under uncertainty. The longitudinal dynamics information flow the are established analyzed. algorithm of DNMPC with robustness reliability considerations at each (or node) is developed based on leading reference from nodes its neighboring set. Together physical constraints input, dynamics, terminal states, both input output,...

A home electrocardiography (ECG) and blood pressure (BP) monitoring network was established in Beijing. The consisted of three parts: (1) the ECG BP devices; (2) centre at hospital; (3) data communication network, for which we chose public telephone network. system tested our university hospital two months with 30 patients six normal volunteers. preliminary evaluation by users indicated that acceptable terms its efficiency effectiveness. This paper describes design, testing procedure, results.

This paper introduces a standalone hybrid power generation system consisting of solar and wind sources DC load. A supervisory control unit, designed to execute maximum point tracking (MPPT), is introduced maximize the simultaneous energy harvesting from overall under different climatic conditions. Two contingencies are considered categorized according each source, load requirement. Simulation results demonstrate effectiveness controllers functionality algorithm in operating condition for...

The heating mechanism of the capacitor is researched, air cooling structure designed capacitors, model capacitors established for phenomenon occurs during charging and discharging process super in series hybrid electric vehicle. simulated based on software Star CCM +. results experiment show that maximum temperature difference less than 5°C among which ensures consistency working proves work substantially well.

This paper proposes a standalone distributed photovoltaic system which includes two independently controlled solar power sources, battery storage and resistive load. Each of the PV panels consist cascaded DC-DC boost converters through independent sliding mode controllers. The design simulation supervisory controller are also discussed. First, maximum point tracking (MPPT) control strategy is introduced to maximize simultaneous energy harvesting from both renewable sources. Then, according...

Cooperative path planning (CPP) is one of the core steps to effectively exploit capabilities multi-level cooperative control multiple aerial platforms. The main purpose CPP develop a set algorithms such that platforms in given scenario could cooperatively find desired reach certain destinations. specifies way-points for destinations while meeting requirements, including minimizing en route threats, time constraints, keeping mutual spacing, and decreasing fuel consumption. In this paper, we...

In this paper, we first propose a general architecture for path planning and mission multiple unmanned platforms that may include aircraft robots. Second, novel method based on Pareto foraging has been implemented evaluated. Our solution serves as reference trajectory the algorithm, which further refines path. Third, extensive experiments comparative studies have carried out. particular, compared our algorithm with Voronoi diagram Dijkstra's

Trajectory tracking control is very crucial for autonomous vehicles (AVs). However, its performance can be degraded due to the time-varying velocities of AVs and their parametric uncertainties. To provide an accurate smooth trajectory effect under different driving conditions with varying velocities, a cascade Linear Parameter Varying (LPV) vehicle integrated method by considering environmental uncertainties proposed. Firstly, both kinematic dynamic models are established using polytopic...