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36th LISBON International Conference on Advances in Software, Control and Mechanical Engineering (ASCME-26) scheduled on Feb. 11-13, 2026 Lisbon (Portugal)
I. Core Discipline Topics A. Software Engineering (SE) 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. B. Control Systems (CS) 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. C. Mechanical Engineering (ME) 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. II. Interrelated Topics (Convergence) A. Cyber-Physical Systems (CPS) & Digital Twins 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. B. Robotics and Autonomous Systems 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. C. AI, Machine Learning (ML), and Optimization Reinforcement Learning (RL) for Control: Using RL algorithms to train intelligent controllers for complex mechanical tasks (e.g., robotic grasping, drone n
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