Mathematical Models

No.CategorySub-topicCore Question
1-1Modeling Paradigm & DynamicsMulti-Physics Field CouplingHow to collaboratively model energy exchange between microscopic particles and macroscopic fluids?
1-2Modeling Paradigm & DynamicsStochastic Dynamics & Risk QuantificationWith highly uncertain environmental parameters, how can stochastic mathematics predict the probability of system evolution?
1-3Modeling Paradigm & DynamicsChaotic Evolution in Complex SystemsHow do tiny deviations in initial conditions cause long-term prediction failure, and what is the underlying topological mathematical structure?
2-1Discrete Structure & LogicTopological Robustness in Complex NetworksHow does discrete graph theory define the fragility and self-healing capacity of global distribution networks?
2-2Discrete Structure & LogicCombinatorial Optimization & NP-HardnessWhen search spaces grow exponentially, how can mathematical structures help algorithms find approximate global optima?
2-3Discrete Structure & LogicLogic Algebra & Formal VerificationHow does predicate logic transform into the safety verification cornerstone for autonomous driving or kernel design?
3-1Dynamic Control & Hybrid SystemsStability Analysis of Switching SystemsWhen a physical system switches between multiple operating modes, how do you ensure continuous trajectories do not diverge?
3-2Dynamic Control & Hybrid SystemsImpulsive Control & Non-Continuous SchedulingHow can high-frequency non-continuous control commands achieve minimum-error coverage of precise continuous motion?
3-3Dynamic Control & Hybrid SystemsCollaborative Modeling in Hybrid AutomationWhat is the mathematical coordination mechanism of AI discrete decisions and physical continuous execution in hybrid dynamic systems?
4-1Signal Processing & Frequency DomainQuantum Reconstruction of Signal ProcessingHow can quantum algorithms reduce the complexity of traditional digital signal processing from polynomial to logarithmic order?
4-2Signal Processing & Frequency DomainWavelet Analysis & Feature ResolutionFor non-stationary signals, how can variable-step translation achieve ultra-precise capture of local information?
4-3Signal Processing & Frequency DomainCompressive Sensing & Information SparsityHow to break the Nyquist sampling theorem and reconstruct complete high-dimensional information from very few observations?
research

Impulsive Control & Non-continuous Scheduling

Background In many systems, control is applied as instantaneous impulses rather than continuous forces. Impulsive control explores how to stabilize a …

#Control Theory #Impulsive Systems #Discrete Scheduling #Non-continuous System 1 min read
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Logic Algebra & Formal Verification

Background In safety-critical systems, testing cannot prove the absence of errors. Formal verification uses mathematical proofs to guarantee that a …

#Formal Verification #Model Checking #Temporal Logic #Safety Critical 1 min read
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Quantum Reconstruction of Signal Processing

Background Traditional Discrete Fourier Transform (DFT) faces complexity limits with massive data. Quantum Fourier Transform (QFT) leverages quantum …

#Quantum Computing #Signal Processing #Fourier Transform #Complexity 1 min read
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Stability Analysis of Switching Systems

Background Switching systems consist of a set of continuous-time subsystems and a logic rule governing the switching between them. Integrating …

#Control Theory #Switching Systems #Lyapunov Stability #Hybrid Systems 1 min read
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Stochastic Dynamics & Risk Quantification

Background Real-world dynamical systems are constantly subject to noise—atmospheric turbulence, financial shocks, biological thermal noise. Stochastic …

#Stochastic Process #Fokker-Planck #Risk #SDE 1 min read
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Topological Robustness in Complex Networks

Background From the internet to power grids and shipping networks, our world relies on complex networks. Topological robustness theory quantifies a …

#Graph Theory #Complex Networks #Robustness #topology #Percolation 1 min read