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Discrete-time systems properties defined on state-space regions
In this paper various properties of discrete-time dynamic control systems trajectories with respect to state-space corner regions are considered. The...
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In-Situ Component-Based TPA for Time-Variant Dynamic Systems: A State-Space Formulation
In this chapter, a methodology to calculate equivalent forces by taking into account the possible time-varying dynamic behavior of the components...
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Survey on applications of algebraic state space theory of logical systems to finite state machines
Algebraic state space theory (ASST) of logical systems, developed based on the semi-tensor product (STP) which is a new matrix analysis tool built in...
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Accuracy analysis for distributed dynamic state estimation in large-scale systems with a cyclic network graph
This paper addresses a distributed dynamic state estimation problem in large-scale systems characterized by a cyclic network graph. The objective is...
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Expectation-maximization Estimation Algorithm for Bilinear State-space Systems with Missing Outputs Using Kalman Smoother
In this paper, the parameter estimation of bilinear state-space systems with missing outputs is studied. The bilinear model is transformed into a...
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State-Space Systems
Linear state-space systems, like ARMA systems, are models for stationary processes, more precisely for the class of stationary processes with...
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AnaDyn: educational tool for dynamic and quasi-steady-state simulations of electrical power systems
Power system simulation is vital for designing and evaluating the performance of electrical system protection and control devices. Although several...
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State Space Grids
As shown in Chapter 3, there are various methods to determine the result of an indicator or the answer to a question for the whole duration of a...
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Identification of Hammerstein–Wiener Systems with State-Space Subsystems Based on the Improved PSO and GSA Algorithm
This paper investigates the parameter estimation of Hammerstein–Wiener systems whose linear subsystems are observable state-space models. The...
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Mass-time equivalence in dynamic equilibrium systems
The truth of time has been debated for more than two centuries. Scientists like Leibniz, Einstein, Rowley, Wheeler and DeWitt believe that it is the...
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Dynamic analysis of gear system with multiple lubrication states in torque–speed parameter space
The existence of backlash causes de-meshing and reverse impact in the gear system, and the influence of the working lubrication conditions of the...
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Conceptualizing Space Actors: State and Power in Space
This chapter sets forth a comprehensive, cross-disciplinary conceptual framework aimed at a dynamic comparison of space actors, taking into account...
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Data stream classification in dynamic feature space using feature map**
Stream learning in dynamic feature space has evolved into an immensely popular field. This problem assumes that each instance of the data stream may...
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State observer of multibody systems formulated using differential algebraic equations
Multibody dynamics comprises methodologies for the design and analysis of mechanical systems, with Kalman filters being the principal state...
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8. DUAL CONTROL FOR MULTIVARIABLE SYSTEMS IN STATE SPACE REPRESENTATION
Applications of the bicriterial approach to various Single-Input Single-Output (SISO) adaptive systems of type III (according to Table 3.1 and...
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An extended Langevinized ensemble Kalman filter for non-Gaussian dynamic systems
State estimation for large-scale non-Gaussian dynamic systems remains an unresolved issue, given nonscalability of the existing particle filter...
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Robust Stability Criterion for State-Delayed Discrete-Time Systems Combined with a Saturation Operator on the State-Space
The problem of global asymptotic stability (GAS) of fixed-point state-delayed uncertain discrete-time systems combined with a saturation operator in...
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Dynamic Selective Maintenance for Multi-state Systems Operating Multiple Consecutive Missions
For a system operating multiple consecutive missions, the condition of each component can be inspected at the end of each mission. Therefore, the...
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Gaussian process regression combined with dynamic data reconciliation for improving the performance of nonlinear dynamic systems
Process data are generally subjected to noise during the measuring, transmission and processing procedures, which may lead to the deterioration and...
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Dynamic topology optimization of flexible multibody systems
Flexible multibody system (FMBS) refers to a mechanical system, which consists of flexible components and kinematic pairs, and undergoes both overall...
