Smart Systems IDE
An integrated development environment and dynamic optimization framework for modeling objective functions, behavior spaces, and automated optimal control in smart systems.
Technology Readiness Level
Technology Validated in Lab
Key components and software architecture modules are integrated and tested together in a controlled laboratory environment, establishing that disparate elements work together to achieve baseline performance.
Framework alignment: Standardized 9-level TRL (NASA / EU Horizon Europe).
Core Challenge
Engineering distributed smart systems—such as decentralized power grids, pumped-storage hydro power plants, and electrified vehicle networks—demands early validation of behavioral choices against competing multi-objective criteria before complete physical systems are built.
System Architecture
A Java-based integrated development environment and dynamic optimization framework (XTREAM) implementing model-based behavior space exploration, partial system modeling, and stochastic dynamic programming to automatically synthesize optimal operational trajectories.
Key Capabilities
- Behavior Space Exploration: Declarative modeling of state-action-transition spaces allowing engineers to analyze emergent behaviors and goal-directed interactions under uncertainty.
- Dynamic Optimization Engine: Stochastic optimization and dynamic programming algorithms that automatically search behavior spaces for cost-minimal and energy-efficient system trajectories.
- Multi-Domain Simulation Testbeds: High-fidelity simulation environments for cascaded pumped-storage hydro power plants, vehicle-to-grid (V2G) charging, and multimodal traffic networks.
- Interactive Visual Analytics: Rich desktop workbench built with DockingFrames and JFreeChart for real-time monitoring of reservoir levels, electricity spot market prices, and objective evaluations.
Technology Stack
- Core Modeling & Solvers: Java 8, Dynamic Programming, Apache Commons Math, JGraphT
- Workbench & Visual Analytics: DockingFrames, JFreeChart, SwingX, JogAmp JOGL (OpenGL)
- Domain Models & Applications: Pumped-Storage Hydro Power Plants, Vehicle-to-Grid (V2G) Electric Networks, TRANSP-0 Traffic Flow Modeling, Multi-Objective Optimization
Verifiable Outcomes
- Peer-reviewed and published across IEEE conferences including ICCVE 2014, ICCVE 2015, COMPSAC 2014, and ITSC 2016.
- Demonstrated automated optimal control of cascaded hydro power storage reservoirs under fluctuating electricity market prices.
- Validated early-stage behavioral modeling for electric vehicle-to-grid (V2G) power grid balancing and traffic congestion management.
- Open-source research tool published on GitHub (github.com/ghackenberg/Smart-Systems-IDE).
