From Lyapunov Stability to Software Resilience
A searchable repository of peer-reviewed publications and technical whitepapers — each with an executive takeaway translating control-theoretic rigor into practical enterprise lessons.
8 publications found
T. Raza, et al. · IEEE Transactions on Automatic Control
Proposes a hybrid control framework ensuring Lyapunov stability under mode transitions and actuator constraints, with explicit fault detection and safe-mode switching guarantees.
When your software system has multiple operating modes (normal, degraded, maintenance), treat transitions like control system mode switches — each must preserve stability invariants. Design explicit 'safe mode' fallbacks with proven recovery paths, not ad-hoc error handlers.
T. Raza, A. Khan, M. Hassan · IEEE Conference on Decision and Control (CDC)
Combines extended Kalman filtering with constrained MPC for real-time control of nonlinear plants with partial state observability and bounded disturbance rejection.
You cannot control what you cannot observe. In enterprise AI, this means instrumenting every agent decision with observable state (logs, traces, confidence scores) before building optimization layers on top. MPC maps directly to budget-constrained resource allocation.
T. Raza · Internal Research Monograph
Derives conditions under which distributed software agents maintain bounded error growth, mapping classical Lyapunov decrease conditions to microservice SLA contracts and circuit-breaker thresholds.
Lyapunov functions are energy certificates — if system 'energy' (error, latency, queue depth) always decreases, the system is stable. Design SLAs and circuit breakers as stability proofs: define what must decrease, by how much, and within what time bound.
T. Raza, S. Ahmed · IEEE Transactions on Systems, Man, and Cybernetics
Formalizes consensus algorithms for heterogeneous agent teams operating under communication delays and Byzantine fault assumptions with provable convergence bounds.
Multi-agent AI swarms need consensus protocols, not just prompt engineering. Define what 'agreement' means (supervisor approval, voting thresholds), handle dissenting agents gracefully, and bound convergence time — exactly as distributed systems engineers handle leader election.
T. Raza, et al. · IEEE Internet of Things Journal
Quantization-aware training and pruning strategies achieving 94% accuracy on anomaly detection with sub-10mW inference on ARM Cortex-M4 platforms.
Edge inference is an optimization problem with hard constraints (power, memory, latency). The enterprise parallel: run lightweight models at the point of decision, reserve cloud LLMs for complex reasoning — don't ship a datacenter to every sensor.
T. Raza · IntegraTech Innovations Whitepaper
Practical framework for designing LangGraph-based agent swarms with deterministic tool calling, supervisor governance, rollback semantics, and observability requirements for production deployment.
Production agent systems need the same engineering discipline as control systems: state machines, bounded outputs, supervisor overrides, and rollback paths. Treat LLM agents as stochastic controllers — wrap them in deterministic guardrails.
T. Raza, IntegraTech Engineering · IntegraTech Technical Report
Reference architectures for MQTT topic hierarchies, QoS selection, edge buffering, and cloud ingestion with backpressure handling for mission-critical telemetry streams.
Telemetry pipelines are control loops in disguise: sensor → process → actuate. Design MQTT topics as state-space partitions, enforce QoS based on criticality, and always plan for backpressure — your cloud will go down; your edge must not.
T. Raza, M. Hassan · Journal of Control Theory and Applications
Applies reachability analysis and barrier certificate methods to verify safety properties of hybrid automata governing mode-switching in autonomous systems.
Formal verification asks: 'Can the system ever enter a bad state?' For enterprise software, the equivalent is chaos engineering and property-based testing. Define invariants (barrier certificates) and prove your system cannot violate them under any mode transition.