Modern control and regulation concepts offer a comprehensive potential for optimizing the system behavior with regard to dynamic properties, accuracy, productivity and costs. Model-based approaches create insight into the essential system properties and their differentiation from negligible effects, which is crucial for efficient system assessment. From drive control to automatic sequence control of complex plants, with the proper model adapted to the respective requirements, the solution can be specifically developed and validated.



Physical principles and the identification of the essential system characteristics are the basis of our models. Digital twins, feedback control designs and model-based process monitoring techniques (virtual sensors) are based on these models and will be optimized for the integration into your application or automation system.


With the focus on model-based approaches in control engineering, we enable a systematic approach. This starts with the system analysis and allows an effective design and efficient implementation of suitable feedforward and feedback control concepts. Stability and robustness analyses provide information about the reliability of the developed solution.


A simple process simulation or a sophisticated setup with direct coupling of the real automation system with the virtual plant (HIL) – we offer all possibilities to check and optimize the automation concept. The integration of suitable detail models as well as the automated validation of extensive test scenarios enable the best possible results.


Knowledge transfer
Our technology experts share their knowledge and experience with you.

We support you in establishing virtual commissioning in your company. This can be done by creating a show case for a trade fair, by validating a use case or by virtual commissioning of a customer project.


We develop models and control engineering solutions for you.

In an application-oriented manner, we develop physics-based models of machines, plants or processes for simulation, virtual commissioning and digital twins. The use of suitable methods for model and parameter identification ensures a realistic representation of the real system behaviour by the model. Thus, the advantages of model-based feedforward and feedback control methods as well as the use of models for the estimation of process and state variables can be fully exploited.

We analyse and test any concepts and variants for you.

Questions concerning stability and robustness can be systematically investigated by the availability of a suitable model. The examination of the concept for the sequence control of a complex plant and its behaviour in the event of a fault can be carried out within the framework of virtual commissioning without risk. In extensive investigations of a large number of test scenarios, the possibility of automated evaluations and analyses can save a great deal of time. For all these tasks, we are happy to make our know-how available to you.

We renew and improve existing solutions for you.

Maximum speed, minimum cycle times, best possible use of the control ranges, minimum energy consumption, reduced load on the system and actuators – with model-based optimization of process and control parameters, we determine the best performance for your system.


  • Modelling, simulation, control engineering: MATLAB/Simulink, SciLab/Xcos, Maple, MapleSim, Mathematica, HOTINT
  • Virtual commissioning: Matlab/Simulink, Maple, IndustrialPhysics
  • Automation systems: B&R AutomationStudio, Siemens TIA-Portal
  • Automatic code-generation: Matlab Coder, MapleSim FMU Export, X2C
  • Prototyping: LCM Electronic systems, dSpace, LabView


Leading Indian manufacturer of drive systems for electrically powered vehicles visits LCM

Leading Indian manufacturer of drive systems for electrically powered vehicles visits LCM

Electromobility is also advancing massively in Asia. Significant growth is expected, especially in the motorcycle segment. The use of optimized drive systems is essential in order to actually achieve the desired goals such as high range, small installation space, low...