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Due to physical laws or mathematical properties the parameters and/or the states of some dynamic systems satisfy certain constraints, and exploitation of such constraints generally is expected to produce more accurate system models. This paper is concerned with modeling of the dynamic systems with equality constraints. An effective framework of the constrained dynamics modeling is proposed by which...
Model-based FDI systems are considered here. The problem of constructing the diagnosed system model as well as the automatic search for the best rule base of the residual analyzer is reduced to a set of global optimization tasks. Various optimization problems are considered depending on the chosen technology of the non-analytical model construction as well as that of the residual evaluation. Most...
In many robotic problems, optimization of the policy for multiple conflicting criteria is required. However this is very challenging due to the existence of noise, which may be input dependent, or heteroscedastic, and the restriction in the number of evaluations, due to robotic experiments which are expensive in time and/or money. This paper presents a multiobjective optimization (MOO) algorithm for...
Structural methods in model-based fault diagnosis applications are simple and efficient tools for finding candidates for residual generation. However, the structural methods do not take model uncertainties and information about fault behavior into consideration. This may result in selecting residual generators with bad performance to be included in the diagnosis system. By using the Kullback-Leibler...
The forward-model approach has been shown to produce accurate model reconstructions of scientific measurements for single-time image data. Here we extend the approach to a series of images that are correlated in time using the physics-based constraints that are often available with scientific imaging. The constraints are implemented through a representational bias in the model and, owing to the smooth...
This paper investigates analysis operator learning for the recently introduced cosparse signal model that is a natural analysis complement to the more traditional sparse signal model. Previous work on such analysis operator learning has relied on access to a set of clean training samples. Here we introduce a new learning framework which can use training data which is corrupted by noise and/or is only...
Piezoresistive cantilevers are commonly used for force sensing. However, the design of piezoresistive cantilevers is complicated by coupling between many design parameters as well as design and operation constraints. Here, we discuss analytical models and optimization techniques for piezoresistive cantilevers.
Word-length optimization provides opportunities for minimization of implementation cost metrics such as power, area and delay. The constraints on cost in case of implementation on miniature embedded systems platforms continues to grow more stringent. Implementation of complex systems such as wireless communication transceivers is known to greatly benefit from optimal word-lengths. However, WL optimization...
Fixed-point refinement of signal processing systems is an essential step performed before implementation of any signal processing system. Existing analytical techniques to evaluate performance of fixed-point systems are not applicable to the errors due to quantization in the presence of un-smooth operators. Thus, it is inevitable to use simulation to evaluate performance of fixed-point systems in...
This paper describes a graphical method for the optimization of Quadrature Voltage Controlled Oscillators (QVCOs) based on the coupling of two LC-tank VCO. A three-dimensional phase noise analysis diagram and graphical optimization approach is presented, to optimize QVCO phase noise while satisfying design constraints such as power dissipation, tank amplitude, tuning range and start up condition....
In this paper we introduce an improved Canny edge detection algorithm and an edge preservation filtering procedure for pavement edge detection applications. Data of pavement images were randomly selected to test this algorithm. There are some problems of Canny operator, unable to detect the weak edge and distinguish the grayscale with little change, the detected edge uncontinuous. Based on these defects,...
Discretization of continuous-valued attributes is always one of the key problems in rough sets theory, a multiscale rough set model (MRSM) is developed that describes the discretization at multiple scales and analyzes the relation of classifications and certainty between scales. In view of the model's efficiency and effectiveness. an optimal scale can be acquired with self-organization, self-study...
Vectorless power grid verification makes it possible to evaluate worst-case voltage drops without enumerating possible current waveforms. Under linear current constraints, the vectorless power grid verification problem can be formulated and solved as a linear programming (LP) problem. However, previous approaches suffer from long runtime due to the large problem size. In this paper, we design the...
The problem of converting floating point algorithms to implementation friendly fixed point formats is often solved as an optimization problem where the precision is traded to gain in the implementation cost. The complexity of the problem is known to grow exponentially with more optimizable variables. This paper proposes a divide and conquer technique to solve the growing size of the problem. The approach...
This paper illustrates different approaches in solving I/O power delivery noise issues and walk through pre-silicon design solution. It covers circuit and architectural design influence, on silicon and on board decoupling solutions selection and package and platform design optimization. SIPD co-simulations and appropriate package return path are the main topics to discuss and certainly impedance (Z)...
A new algorithm for PID controller automatic tuning and adaptation is suggested, based on real plant characteristics instead of analytical expressions. The best PID parameters are found by numerical analysis and optimization. This method does not use any simplification that is normally used for parametric identification in common PID controllers with autotuning. The feasibility of the method has been...
A block matrix inversion is a tool that is useful in areas of control, estimation theory and signal processing. However, one of two diagonal entries of the block matrices should be at least invertible to accomplish the conventional block matrix inversion. This paper shows that this assumption is partially released by offering new form of symbolic block matrix inversion. Though the suggested block...
In this paper, an energy efficient adaptive modulation scheme is proposed for a wireless cognitive radio ad hoc network, where each node is equipped with cognitive radio and the network is an OFDMA system operating on time slots. In each slot, the users with new traffic demand will sense the spectrum and locate the available subcarrier set. Then they choose subcarriers with favorable channel condition...
Current mode (CM) scheme provides suitable alternative for the high speed on-chip interconnect signaling. This paper presents a energy-delay optimization methodology for the current-mode (CM) signaling scheme. Optimization for the CM circuits for on-chip interconnects requires a joint optimization of driver and receiver device sizes, as their parameters which affect the energy-delay performance depend...
For several decades, the output from semiconductor manufacturers has been high volume products with process optimisation being continued throughout the lifetime of the product to ensure a satisfactory yield. However, product lifetimes are continually shrinking to keep pace with market demands. Furthermore there is an increase in dasiafoundrypsila business where product volumes are low; consequently...
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