URENG

Call for Papers: ASCME-26

Full Articles/ Reviews/ Shorts Papers/ Abstracts are welcomed in the following research fields.

Topics of Interest for Submission include, but are Not Limited to:

Architectures for Real-Time Systems: Designing software structures (e.g., Microservices, Service-Oriented Architecture) suitable for systems with strict timing constraints.
Software Development Methodologies: Applying Agile, Scrum, and DevOps principles to hardware/software co-development and embedded systems.
Software Verification and Validation (V&V): Techniques for assuring software quality, including automated testing, formal methods, and Model Checking, especially for safety-critical systems.
Safety-Critical Software: Developing software that meets stringent standards (like $\text{ISO 26262}$ for automotive) and ensures fault tolerance.
Embedded Systems Programming: Low-level programming, operating systems, and firmware development for microcontrollers and specialized hardware.

Advanced Control Theory: Research on Nonlinear Control, Optimal Control, and Robust Control to manage complex, uncertain mechanical systems.
Model Predictive Control (MPC): Using optimization techniques and system models to determine control actions while satisfying constraints.
Adaptive and Learning Control: Systems that can automatically adjust their parameters or control laws in response to changing operating conditions.
Networked Control Systems (NCS): Designing control loops where sensors, controllers, and actuators are connected over communication networks, considering issues like time delays and packet loss.
System Identification and Modeling: Techniques for creating accurate mathematical models of physical mechanical systems from experimental data.

Dynamics and Vibration: Analysis and control of vibrations in structures, machinery, and rotating equipment.
Mechatronics and Actuators: Design and integration of mechanical components, sensors, and actuators (electric, hydraulic, pneumatic).
Structural Analysis and Design: Using Finite Element Analysis (FEA) and optimization to design robust mechanical structures and components.
Thermal and Fluid Systems: Modeling and control of fluid flow and heat transfer in systems like HVAC, propulsion, and energy systems.
Advanced Manufacturing: Topics related to Additive Manufacturing (3D Printing), $\text{CAD/CAM/CAE}$, and precision machining.

This represents the ultimate convergence of the three fields.

Cyber-Physical Systems (CPS) Architecture: The design of integrated systems where software and computation (Cyber) interact closely with physical processes (Physical).

Model-Based Systems Engineering (MBSE): Using formalized modeling languages and tools (like $\text{UML/SysML}$) to manage the entire system lifecycle, from requirements to design and testing across all three disciplines.
Digital Twin Technology: Creating a virtual replica of a physical asset, powered by real-time data, to enable predictive maintenance, simulation, and optimized control.
Hardware-in-the-Loop (HIL) Simulation: Software testing methods that involve integrating the real embedded control hardware into a simulated mechanical environment.

The classic application area for the three disciplines.

Robotics Kinematics, Dynamics, and Control: The mathematical modeling and control algorithms for robot manipulators and mobile robots.
Software for Autonomous Vehicles (AVs): Perception, path planning, decision-making logic, and safety verification for self-driving cars, drones, and underwater vehicles.
Soft Robotics and Human-Robot Interaction (HRI): Mechanical design and control systems for robots made of flexible materials, and the software interface for safe human collaboration.

Reinforcement Learning (RL) for Control: Using RL algorithms to train intelligent controllers for complex mechanical tasks (e.g., robotic grasping, drone navigation).
AI for Predictive Maintenance: Using ML models trained on sensor data (vibration, temperature) to predict mechanical component failures.
Optimization in Design: Using software algorithms to optimize the mechanical design (shape, topology, material selection) subject to control system requirements and manufacturing constraints.

Smart Manufacturing and Factories: The integration of sensors, $\text{IoT}$, and smart control systems with production machinery.
Programmable Logic Controllers (PLC) and SCADA Systems: Software development and control strategies for industrial automation.
Human-Machine Interfaces HMI and Visualization: Software tools for operators to monitor and interact with complex mechanical and control systems.