RETEQCQP

How to improve system performance with a real-time embedded optimization solver? Many problems in automatic control, signal processing, real-time estimation, real-time resource allocation and decision making can be modeled as a Quadratically Constrained Quadratic Program (QCQP). Due to changing conditions and/or new data arrivals, these problems need to be solved in real-time on a low cost hardware: real-time embedded QCQP. Currently, no real-time embedded QCQP solver exists.

• The solver requires only simple mathematical operations: addition, subtraction, multiplication, division. No matrix inversion is necessary.
• Does not require any external libraries.
• Can be embedded in a low-cost microcontroller.
• 1000x faster than the state of the art primal-dual interior point method.

• Provides an alternative solution to artificial intelligence (AI) based technology.
• Our solution is based on physics. We understand why and how it works.
• No permanent internet connection needed to run, nor permanent maintenance operations.
• As it can run on low-cost hardware, it is cheaper, than that of AI based solutions.