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Optimizing a Production Line
The simple production line considered in this chapter is shown in Fig. 20.1. This problem has been adapted from an example in [1]. This situation is...
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Queuing I: One-Step Calculations
In this chapter we show situations where simulation can produce the same results as fuzzy calculations which employ the extension principle. We argue...
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Simulation Programs
In this chapter we present some of the GPSS programs used in Chaps. 9–26. We had to omit many programs in order to keep this chapter. less that 20...
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Summary and Conclusions
The first objective of this book is to explain how many systems naturally become fuzzy systems. The second objective is to show how regular (crisp)...
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Adaptive and Distributed Coordination Algorithms for Mobile Sensing Networks
Consider n sites evolving within a convex polygon according to one of the following interaction laws: (i) each site moves away from the closest other...
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Flocking in Teams of Nonholonomic Agents
The motion of a group of nonholonomic mobile agents is synchronized using local control laws. This synchronization strategy is inspired by the early...
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Optimal Control of Differential-Algebraic Inclusions
In this paper we consider the following dynamic optimization problem ( P ) governed by differential-algebraic inclusions:...
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A Continuous Control Mechanism for Uncertain Nonlinear Systems
The control of uncertain nonlinear systems is a topic that continues to challenge control theoreticians. This topic is also of practical importance...
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On Impulses Induced by Singular Perturbations
The possibility that a singularly perturbed controlled dynamics generates impulses in a slow dynamics coupled to it, is investigated. A scheme for...
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15. SIMULATION STUDIES AND REAL-TIME CONTROL USING MATLAB/SIMULINK
The MATLAB programs for simulating the generalized minimum variance (GMV) controller with the CE assumption as well as its dual version are presented...
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13. ROBUSTNESS AGAINST UNMODELED EFFECTS AND SYSTEM STABILITY
Various engineering systems are described by complex dynamic models that include nonlinearities, time-varying parameters and high-order terms....
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6. DUAL POLE-PLACEMENT CONTROLLER WITH DIRECT ADAPTATION
The following two problems have to be solved in order to extend the adaptive dual control approach to direct adaptive pole-placement control systems:...
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Optimal stabilization of linear stochastic systems
Having introduced and motivated our concepts of stochastic control systems in the previous chapter we now turn to optimal and suboptimal...
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9. A SIMPLIFIED APPROACH TO THE SYNTHESIS OF DUAL CONTROLLERS WITH INDIRECT ADAPTATION
The cost function of the deviation between the system output and its nominal value (system response to the unknown desired controller), suggested by...
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Machine Shop I
The queuing system in this chapter is shown in Fig. 11.1. This application was adopted from a problem in ([1], p.594). We continue this problem in...
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From Genetic Variation to Probabilistic Modeling
Genetic algorithms ⦓GAs) [53, 83] are stochastic optimization methods inspired by natural evolution and genetics. Over the last few decades, GAs have...
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Inventory Control II
This chapter continues the inventory control problem studied in the previous chapter. The new system is shown in Fig. 17.1. We have added two things...
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Project Network Model
The project network diagram is in Fig. 26.1. This problem is modelled after an example in [2]. The project consists of various jobs that must be...
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Queuing II: No One-Step Calculations
In this chapter we will study the fuzzy system shown in Fig. 5.1 now reproduced as Fig. 9.1. This example was adapted from an example in [1]. The...
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Modular Neural Networks
We describe in this chapter the basic concepts, theory and algorithms of modular and ensemble neural networks. We will also give particular attention...