Design Patterns
Published references showing how APC/MPC technology delivers measurable results across industries.
16 patterns published
Autonomous Mobile Navigation MPC — Competition-Proven Control for Ground Vehicles and Mobile Robots
MPC-based navigation for autonomous vehicles and mobile robots: perception-planning-control pipelines validated from racing to industrial AGVs.
Read more → 02Calibration-Efficient MPC — Replacing Parameter-Dense Control Architectures with Model-Based Design
Traditional controllers require calibrating hundreds of operating-point-specific parameters on costly test benches. MPC replaces them with a single plant model and a small set of cost-function weights — shifting the engineering burden from hardware to computation. Deployed in production on 3+ million vehicles and documented across automotive, HVAC, and industrial process applications.
Read more → 03Constrained MIMO MPC — Actuator Saturation and Coupled Dynamics
How constrained multi-input multi-output MPC handles actuator saturation and coupled dynamics, proven in underwater vehicles, ship dynamic positioning, satellite attitude control, and cryogenic systems.
Read more → 04Economic MPC Optimization — Cost-Optimal Real-Time Control for Energy, Buildings, and Process Industries
Economic MPC replaces tracking setpoints with direct cost optimization, delivering 17%+ energy savings in buildings, fuel savings in greenhouses, and price-arbitrage dispatch for battery storage.
Read more → 05Embedded Real-Time MPC — Deterministic Optimization on Timing-Critical Hardware
How embedded MPC delivers deterministic constraint-respecting control within hard timing budgets on microcontrollers, DSPs, and onboard computers.
Read more → 06Human-Robot Contact Force MPC -- Safe Collaboration Through Predictive Force Control
MPC formulations that manage physical contact forces for safe human-robot interaction, reducing collision forces by up to 77% while maintaining task performance.
Read more → 07Industrial Process NMPC/APC -- Model-Based Predictive Control for Energy, Quality, and Throughput Optimization
How nonlinear MPC and APC improve energy efficiency, product quality, and throughput across steel, cement, pharma, chemicals, and building HVAC processes.
Read more → 08Learning-Augmented Adaptive MPC — Closing the Model-Reality Gap for Higher Performance
How GP-MPC, neural MPC, and adaptive control augment model predictive control to handle model mismatch, yielding up to 82% error reduction and provably safe chance-constraint satisfaction.
Read more → 09Legged Locomotion Constraints MPC -- Real-Time Walking Through Constrained Optimization
Constraints-first MPC/NMPC for legged robots achieving 100+ Hz control with friction cones, torque limits, and variable step timing as core optimization variables.
Read more → 10Obstacle Avoidance Under Uncertainty — Safe MPC with Imperfect Perception
MPC formulations that maintain collision-free motion while handling uncertainty in localization, perception, and obstacle predictions.
Read more → 11Path Following & Contouring MPCC — Speed-Accuracy Trade-offs via Predictive Control
Model Predictive Contouring Control optimizes path progress vs. tracking accuracy for robots, CNC, AGVs, and autonomous vehicles.
Read more → 12Predictive Torque and Drive Control -- MPC for Power Electronics at Microsecond Timescales
Model Predictive Control applied to electric drives and power electronics: torque ripple reduction, fault ride-through, and active magnetic bearing control.
Read more → 13Robotic Manipulation and Precision Machining MPC — Sub-Millimeter Accuracy Through Predictive Control
MPC for robotic arms delivers 70% lower tracking deviation in milling, 65% contour error reduction, and tactile-reactive grasping at 25 Hz via constraint-aware control.
Read more → 14State Estimation + MPC Co-Design -- Why Estimation Quality Determines Control Performance
How co-designing state estimation (EKF, MHE, sensor fusion) with MPC/NMPC enables deployable control for cranes, robots, servos, and manipulators.
Read more → 15Trajectory Optimization and Setpoint Generation — Optimal Plans for Real-Time MPC Tracking
Two-stage pattern: offline trajectory optimization generates optimal references that online MPC tracks in real time, proven in wind energy, spacecraft landing, robot motion planning, and batch chemicals.
Read more → 16UAV Aerial Systems MPC -- Agile Flight and Swarm Coordination Through Nonlinear Predictive Control
NMPC for aerial vehicles enabling aggressive maneuvers, 82% tracking error reduction, time-optimal racing, and 57% faster swarm missions vs reactive baselines.
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Dr. Rafał Noga
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