Scope of the conference

The scope of Polish Control Conference PCC'2020 includes all topics related to automatic control and robotics including, but not limited to:

1. Modelling, identification, and analysis of automation systems;  

     including:

  1. 1.1 Linear continuous-time and discrete-time dynamical systems.
  2. 1.2 Nonlinear continuous-time and discrete-time dynamical systems, chaotic systems.
  3. 1.3 Discrete event systems.
  4. 1.4 Networked systems and large scale complex systems.
  5. 1.5 Stochastic systems.
  6. 1.6 Infinite-dimensional systems, distributed parameter systems.
  7. 1.7 Fuzzy systems and artificial neural networks.
  8. 1.8 Positive systems, n-D systems, fractional order systems.
2. Design of control systems;  

     including:

  1. 2.1 Linear systems, feedback systems, design and selection of controllers for linear systems, including n-D, positive, infinite-dimensional, singular and fractional-order ones.
  2. 2.2 Nonlinear systems, design of nonlinear feedback control systems, Lyapunov's methods, passive systems, linear control in non-linear systems.
  3. 2.3 Controller design for systems with time-varying parametric uncertainties, adaptive control, robust control, sliding mode control, learning systems, model predictive control, fault tolerant control, supervision and safety of control systems.
  4. 2.4 Optimal control and differential games.
  5. 2.5 Data-driven control, expert systems in control.
3. Calculation methods, data processing and communication in control;  

     including:

  1. 3.1 Computer-controlled systems, signal processing, embedded controllers. Real-time control, human-computer interfaces. Tools for supervision and visualization of control processes.
  2. 3.2 Cyber-physical systems.
  3. 3.3 Data processing, data-mining, artificial intelligence and computational intelligence systems, heuristic methods, operations research, knowledge engineering.
  4. 3.4 Telematics, control via communication networks, large scale complex systems.
  5. 3.5 Hardware implementation and actuators.
4. Mechatronics and robotics;  

     including:

  1. 4.1 Design and control of robot manipulators, stationary robots, mobile, aquatic and aerial robots.
  2. 4.2 Smart robots, sensors and perception systems, guidance and navigation, information and sensor fusion, autonomous robots.
  3. 4.3 Human-robot interactions, social robotics, rescue and rehabilitation robots.
  4. 4.4 Multi-robot formation control, cooperation and communication, multi-agent systems.
5. Automated manufacturing systems;  

     including:

  1. 5.1 Internet of Things, Industry 4.0 and other methodologies of manufacturing system control.
  2. 5.2 Modelling, tools and applications related to automation, information and communication technologies needed to control the manufacturing plant within the e-enterprise. Control systems in logistics.
  3. 5.3 Enterprise integration of control systems, complex and hierarchical control systems, communication-based information systems.
6. Industrial systems;  

     including:

  1. 6.1 Chemical process control in food, refining and other industries.
  2. 6.2 Control in the field of mining, mineral and metal processing.
  3. 6.3 Control of power and energy systems.
7. Transportation and vehicle systems ;  

     including:

  1. 7.1 Motion control in the presence of friction and disturbances, electric drive dynamics.
  2. 7.2 Control systems in land vehicles, modeling and identification, vehicle dynamics, integrated traffic and in-vehicle communication. Safety and diagnostics, autonomous vehicles.
  3. 7.3 Active vibration and noise elimination.
  4. 7.4 Control systems in marine and submarine vehicles.
  5. 7.5 Dynamics and control of aeronautical vehicles and vehicle systems.
8. Biological, medical and ecological systems;  

     including:

  1. 8.1 Modeling and control in agriculture.
  2. 8.2 Modeling and control in biology, medicine, sport, physiology and psychology.
  3. 8.3 Modeling and control of environmental systems.
9. Control of social systems. Social impact of automation;  

     including:

  1. 9.1 Modeling, analysis and control of Economic, Business, Financial and Political Systems.
  2. 9.2 Smart cities.
  3. 9.3 Relations between social environments and automation.
  4. 9.4 Education issues in control engineering.