Coordination Control Research Articles

Application of offensive basketball technical fundamentals in motor coordination

Motor coordination in basketball is the ability to perform movements in a controlled and effective manner, integrating different parts of the body in specific motor actions of the game. The objective of this research work was to analyze the post-intervention motor coordination of a program of offensive technical fundamentals exercises in the discipline of basketball. The study corresponds to a mixed qualitative and quantitative approach, whose research modality was applied through an analytical-descriptive design. The study sample consisted of 50 schoolchildren aged 9 and 10 years, the 3JS test was applied as an instrument, which allowed an analysis of motor coordination in two dimensions: locomotor coordination and object control coordination, an intervention program was carried out, which lasted six months of applications, that is, a longitudinal cut with the application of a pre-test and a post-test. The analysis of the results reveals a significant level in motor coordination in all dimensions of motor coordination for the male gender, however, in the female gender more significant values were obtained after the application of the intervention program.

Neuronal dynamics of cerebellum and medial prefrontal cortex in adaptive motor timing

Precise temporal control of sensorimotor coordination and adaptation is a fundamental basis of animal behavior. How different brain regions are involved in regulating the flexible temporal adaptation remains elusive. Here, we investigated the neuronal dynamics of the cerebellar interposed nucleus (IpN) and the medial prefrontal cortex (mPFC) neurons during temporal adaptation between delay eyeblink conditioning (DEC) and trace eyeblink conditioning (TEC). When mice were trained for either DEC or TEC and subsequently subjected to a new paradigm, their conditioned responses (CRs) adapted virtually instantaneously. Changes in the activity of the IpN neurons related to CR timing were prominent during DEC-to-TEC adaptation, but less so during TEC-to-DEC adaptation. In contrast, mPFC neurons could rapidly alter their modulation patterns during both adaptation paradigms. Accordingly, silencing the mPFC completely blocked the adaptation of CR timing. These results illustrate how cerebral and cerebellar mechanisms may play different roles during adaptive control of associative motor timing.

Organizational Management and Organizational Culture that Affect the Effectiveness of Subdistrict Administrative Organization in Pathum Thani Province

Background and Aims: Effective resource allocation, goal setting, and achievement are made possible by organizational management, which is essential to the success of the organization as a whole. Organizational culture improves performance and retention by creating a happy work environment, increasing employee engagement, and coordinating behavior with the goals and values of the business. The research aims to 1) study the level of organizational management and organizational culture of sub-district administrative organizations in Pathum Thani Province, 2) study the factors of organizational management and organizational culture that affect the effectiveness of the management of sub-district administrative organizations in Pathum Thani Province, and 3) propose guidelines for developing the efficiency of the management of sub-district administrative organizations in Pathum Thani Province. Methodology: The sample group used in the research was 400 people aged 18 years and over living in the area of ​​sub-district administrative organizations in Pathum Thani Province, obtained by using the Taro Yamane (Yamane. 1973: 725) sampling formula and simple random sampling. The qualitative data were collected by using a specific group of 11 informants. The research instruments were a 5-level rating scale questionnaire and an interview form. The statistics used for data analysis were frequency, percentage, mean, standard deviation, and correlation coefficient. Multiple regression analysis. Results: The research results found that (1) The level of organizational management and organizational culture of sub-district administrative organizations in Pathum Thani Province was at a high level overall. When considering each aspect from highest to lowest, they were: coordination Command and control, planning, organization, and control, respectively. (2) The 13 organizational management and organizational culture factors that affect the effectiveness of the management of sub-district administrative organizations in Pathum Thani Province (Y) overall, regardless of the statistical significance of the variables, found that the coefficient of prediction was low (R2) equal to 0.177 or could predict only 17.7 percent, with statistical significance Sig. = 0.96, which is greater than .05, and there was high variability of data within and between groups, F = 76.6. (3) Suggestions for developing the efficiency of the management of sub-district administrative organizations in Pathum Thani Province The executives should have regular meetings between related agencies to create understanding and effective coordination. There should be a budget to support volunteers who join the work in various aspects, including public health, occupation, and economy. Conclusion: The study found that organizational management and culture are generally high in sub-district administrative organizations in Pathum Thani Province, with the strongest characteristics being coordination and command. However, these variables only have a 17.7% predictive ability when it comes to management effectiveness. Among the suggestions are funding for volunteers in a variety of industries and improving interagency meetings for better coordination.

QPSOMPC-based chassis coordination control of 6WIDAGV for vehicle stability and trajectory tracking

QPSOMPC-based chassis coordination control of 6WIDAGV for vehicle stability and trajectory tracking

A Novel Coordination Control Strategy for Parallel-Connected Boost Converters in DC Microgrid

A Novel Coordination Control Strategy for Parallel-Connected Boost Converters in DC Microgrid

Distributed Economic Coordination Controller for Parallel DC–DC Converters in Shipboard DC Microgrids Based on Prescribed-Time Consensus Observer

Distributed Economic Coordination Controller for Parallel DC–DC Converters in Shipboard DC Microgrids Based on Prescribed-Time Consensus Observer

Coordination Control for Path Tracking and Stability of 4WS-4WID Automated Vehicles: A Game Theory-Based Approach

Coordination Control for Path Tracking and Stability of 4WS-4WID Automated Vehicles: A Game Theory-Based Approach

Constraint-oriented formation control of multi-robot system in leaderless consensus under confined conditions

In this paper, constraint-oriented coordination control of a first-order multi-robot system has been considered in a leaderless consensus where rectangular velocity components of participating robots are subject to constraints while also avoiding inter-robots collisions. The desired formation control of different robots and their inter-robots collision avoidance in a team of robots are achieved by solving an optimization problem based on control barrier functions whereas graph theory concepts are used to represent the interaction relations among robots. A devised quadratic programme subject to the velocity and safety conditions, minimizes the desired cost function encoded in the control barrier function and generates separate control inputs for each robot. The rectangular components of the velocity against each robot are kept constrained during the entire operation of the formation control. The optimization-technique-based decentralized controllers were simulated in MATLAB and the corresponding results were recorded. The robots in the team successfully attained the desired formation in a leaderless consensus, deploying themselves in a plane under constrained rectangular velocities without colliding with each other. Several simulation examples with different values of velocity constraints have been shown to illustrate the operation of constrained controllers while ensuring that the desired leaderless-consensus-based formation remains attainable in a safe manner.

Multi‐source PV‐battery DC microgrid operation mode and power allocation strategy based on two layer fuzzy controller

AbstractThe conventional DC bus signaling (DBS) coordination control strategy for islanded DC microgrids (IDCMGs) faces challenges in coordinating multiple distributed generators (DGs) and fails to effectively incorporate the state of charge (SOC) information of the energy storage system, reducing system flexibility. In this article, a two‐layer fuzzy control‐based coordination strategy is proposed for multi‐PV islanded DC microgrids. The first layer fuzzy logic controller (FLC) quantifies and selects the optimal system operating mode, adaptively adjusting the number of PV units operating in maximum power point tracking (MPPT) mode to manage system power surplus or deficit, thereby simplifying system design and enhancing flexibility. The second layer FLC adaptively adjusts the output of distributed energy sources based on SOC and current system conditions to better align the energy storage system's output with overall system operation, resulting in at least a 4% improvement in SOC level and effectively preventing overcharging or over‐discharging issues seen in traditional control. Additionally, for PV units operating in droop mode, the droop coefficient is recalculated based on their maximum generation capacity under changing external conditions, thereby achieving more efficient power distribution and preventing system instability caused by power exceeding the limits of individual PV units. Finally, the effectiveness of the proposed control strategy is validated through RT‐lab hardware‐in‐the‐loop (HIL) simulations.

Systematization of BIM data management to improve centralization, interoperability and traceability of building asset information in digital environments

This article connects Building Information Modeling (BIM) methodology with relational databases, presenting a large-scale framework that enhances work processes and knowledge for digital building asset management. It emphasizes the significance of data connections, aligning digital technologies with valuable information extraction and advocating for strategic digital continuity. Current digital procedures in construction often lack standardized protocols, hindering efficient information creation, monitoring, and reuse. The integration of BIM with other data sources facilitates better control in coordination and management, leading to time and cost savings throughout the asset lifecycle. The research is organized into four blocks: database construction, BIM data integration, quality control, and data consolidation, leading to a new systematization proposal for building management. Key contributions include insights into the global structuring of asset management information and the potential for synchronous use of BIM models with relational databases, enabling data sharing and access for various specialists across different environments.

Research on Low-Voltage Ride-Through and Intelligent Optimization Control of Wind Turbines Based on Hybrid Power Prediction Models

This paper proposes a dual-loop back-to-back converter coordination control scheme with a DC-side voltage as the primary control target, along with a CROW unloading control strategy for low voltage ride-through (LVRT) capability enhancement. The feasibility and effectiveness of the proposed system topology and control strategy are verified through MATLAB/Simulink simulations. Furthermore, a hybrid short-term wind power prediction model based on data-driven and deep learning techniques (CEEMDAN-CNN-Transformer-XGBoost) is introduced in the wind turbine control system. The coordination control strategy seamlessly integrates wind power prediction, pitch angle adjustment, and the control system, embodying a predictive-driven intelligent optimization control approach. This method significantly improves prediction accuracy and stability, theoretically reduces unnecessary pitch angle adjustments, lowers mechanical stress, and enhances system adaptability in complex operating conditions. The research findings provide a valuable theoretical foundation and technical reference for the intelligent and efficient operation of wind power generation systems.

Distributed cooperative guidance law without numerical singularity with field-of-view angle constraint

Abstract A distributed cooperative guidance law without numerical singularities is proposed for the simultaneous attack a stationary target by multiple vehicles with field-of-view constraints. Firstly, the vehicle engagement motion model is transformed into a multi-agent model. Then, based on the state-constrained consensus protocol, a coordination control law with field-of-view (FOV) constraints is proposed. Finally, the cooperative guidance law has been improved to make it more suitable for practical application. Numerical simulations verified the effectiveness and robustness of the proposed guidance law in the presence of acceleration saturation, communication delays and measurement noise.

Observer‐Based Switching‐Like Adaptive‐Triggered Resilient Coordination Control of Discrete Singular Systems Under DI Attacks with Uncertain Occurrence Probabilities

ABSTRACTIn this paper, we investigate observer‐based switching‐like adaptive‐triggered resilient state feedback control for discrete singular systems under deception‐injection (DI) attacks. Considering state variables are not completely measurable, a delayed state observer is engineered to reconstruct system states and the occurrence of DI attacks is described by Bernoulli random variables. The upper bound method is used to deal with the DI attacks with jumping patterns and imprecise occurrence probabilities. Taking into account the sporadic nature of DI attacks, switching‐like adaptive‐triggered resilient control method is presented, and the collaboratively designed triggered mechanism and resilient control strategy can not only automatically adjust data transmission based on the system states, but also save communication resources and network bandwidth, and enhance the tolerance to hostile attacks so as to improve safety and reliability of networked singular systems. By utilizing singular value decomposition technique, the noncausal behavior of the singular system is avoided and by applying linear matrix inequality (LMI) technology, the desired gains of controller and observer are achieved concurrently, then neoteric conditions about stochastic admissibility of closed‐loop discrete singular systems are provided. Ultimately, the validity of the proposed resilient coordination control approach is verified via a direct current (DC) motor model.

Designing UAV Charging Framework for Forest Area with Microgrid

Unmanned aerial vehicles (UAVs) are suitable for forest fire monitoring, which is critical to prevent unexpected hazards. However, a lack of charging measures is the bottleneck restricting the development of surveillance drones in forest areas. This paper envisions a hierarchical charging framework of heterogeneous drones for forest fire surveillance based on a microgrid with renewable energy. Different replenishment methods of heterogeneous drones, as well as the coordination control strategy of the microgrid in a forest, which are designed to support continuous surveillance, are specified. To improve the transient stability as well as the capacity of fault ride-through in a forest microgrid for the multiple charging of fire surveillance drones, coordination control with a speed regulation strategy for a forest microgrid is proposed in which the substantial kinetic energy generated by the rotation of wind turbines is utilized to mitigate power fluctuations in a timely manner. Simulations are conducted under typical working conditions to verify the effectiveness of the method.

Variability in performance of agility dogs navigating a dynamic obstacle.

During agility performance, dogs complete a preset obstacle course. The teeter, also known as the seesaw, is the only dynamic contact obstacle. Dogs handle dynamic obstacles differently than static obstacles due to the need for increased coordination and postural control. No studies have been performed evaluating dogs' abilities or biomechanical strategies to navigate the teeter. The goal of this study was to describe and quantify variability in teeter performance across a sample of dogs of differing body mass and breeds. Twenty dogs of various body masses and breeds were recruited. Handlers were instructed to line their dog up approximately 5 m from the teeter and to handle the obstacle in a way to best reflect the dog's typical performance. Repetitions were filmed using a GoPro Hero 11 at 240 frames per second. Data were post processed and footfalls were manually tracked using XMALab. Descriptive statistics were used to describe both central tendency and variability. Mean total obstacle completion time (from dog breaking the plane of the teeter until teeter contact with ground) was 1.31 s (sd = 0.38) and mean total footfalls on the teeter was 18.3 (sd = 3.4). Footfall patterns varied across all phases of teeter performance, with particularly noteworthy variation during descent while the teeter was moving. Some dogs were nearly completely stationary while the teeter dropped while others continued to take steps toward the end of the obstacle as the teeter was in motion. Smaller dogs had more total footfalls and longer teeter completion times than larger dogs, and dogs with a stopped contact behavior took longer to fully exit the teeter after it contacted the ground. These data imply that dogs use a variety of biomechanical strategies to perform a dynamic obstacle. Results of this study provide insight into teeter performance and variables that can be utilized for evaluation in future biomechanical studies. This study also provides initial data on biomechanical strategies used by dogs on dynamic surfaces, which may offer insight into dynamic stability and postural control in dogs and how that may influence injury development during sport.

Joint Quantum Reinforcement Learning and Stabilized Control for Spatio-Temporal Coordination in Metaverse

Joint Quantum Reinforcement Learning and Stabilized Control for Spatio-Temporal Coordination in Metaverse

Path Tracking Coordination Control With TD3 Reinforcement Learning Based on Danger Level Recognition Considering Generalized Functional Safety

Path Tracking Coordination Control With TD3 Reinforcement Learning Based on Danger Level Recognition Considering Generalized Functional Safety

A Review of Gait Coordination Control Methods for Lower Limb Exoskeleton Robots Based on Visual Models

The ongoing evolution of exoskeleton technology has rendered the exclusive reliance on a single vision technology an impractical approach to addressing the complexities of diverse environments and individual requirements. This paper therefore explores the potential of combining traditional visual models with movement intention prediction based on surface electromyography (sEMG) and virtual reality (VR) technology in the context of gait control. The study concluded that traditional visual models are capable of providing accurate environmental perception and gait planning; however, they are deficient in forecasting user intentions. Surface electromyography (sEMG) technology can supplement this deficiency with muscle activity signals, enabling the system to respond dynamically to user needs. Concurrently, virtual reality (VR) technology furnishes users with a more personalized training program through immersive environmental simulation and feedback. The combination of these three technologies not only enhances the system's real-time responsiveness but also exhibits commendable adaptability in complex terrain and rehabilitation training. This paper examines the three fundamental technologies of lower limb exoskeleton robots in gait control and their fusion applications, with the objective of enhancing the system's intelligence and adaptability, providing a direction for the future development of lower limb exoskeleton technology, and highlighting the challenges and potential of multimodal data fusion and computational optimisation.

Enhanced Operation Mode Design and Motion Control of a Dual-Redundancy Electro-Hydrostatic Actuator

In dual-redundancy electro-hydrostatic actuators (EHAs), the dual pumps are mainly designed for safety, where the cylinder is controlled mainly by one pump while the other one is standby for redundancy. However, such a strategy is basically like a single-pump-controlled system, and the flow from the pump may be inaccurate when the cylinder moves slowly, which will affect the motion control performance. A new dual-redundancy EHA is designed, and a series of corresponding operation modes are developed, enabling differential operation of the dual pumps. With the proposed operation modes, the inevitable flow inaccuracy problem of the single pump can be addressed through the coordination control of the dual pumps. In order to achieve better motion tracking performance, a model-based backstepping controller is synthesized, where the nonlinearities and uncertainties of the EHA are handled by model compensation and robust feedback design. Comparative simulations with existing control methods for EHAs are conducted and better motion tracking precision is achieved, especially during low-speed motion.

Cyber attacks detection and mitigation in hybrid power system using type-2 fuzzy controller

Abstract This paper presents a novel control technique using Fuzzy Type-2 controller for regulating the frequency deviations in an independent Hybrid Power System (HPS). The HPS comprises of a wind system and a solar photovoltaic (PV) system as primary energy sources, along with Fuel Cells (FCs) as additional generation systems and Double Layer Capacitor (DLC) Banks as storage devices to meet the load demand. The frequency variations occur in the HPS due to the intermittency in power outputs from the primary sources, the load changes as well as any attacks in the system. The frequency regulation is achieved by effective coordination control of FC and DLC with the aid of a Fuzzy Type-2 controller and a high pass filter (HPF). The DLC technology adequately satisfies the residual power of hybrid systems resulting from the slow dynamics of FCs. The Fuzzy Type-2 controller is trained using an input-output data set of a PID controller whose gains are tuned to their optimal values using Monte-Carlo state estimators. The proposed system is simulated using real weather data to validate the capability of the Hybrid Power System (HPS) in supplying isolated loads while maintaining power frequency balance conditions. Also the HPS is subjected to attacks in daily load variation and the results are compared with the system without attacks. The simulation results show that the peak over shoots are reduced considerably but the settling time is 0.2 s in the system with no attacks where as the settling time is prolonged to 1.2 s with the attacks. This paper demonstrates the effectiveness of the Fuzzy Type-2 controller for the coordination control of DLC and FC to achieve generation-load balance condition in comparison with that of the PID controller for HPS system with and without attacks.