{"product_id":"auxiliary-signal-design-for-failure-detection-9780691099873","title":"Auxiliary Signal Design for Failure Detection","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eMany industries use control systems to insure that parameters such as temperature or altitude behave in a desirable way over time. This book offers an alternative failure detection approach that addresses two of the fundamental problems in the safe and efficient operation of modern control systems: failure detection and model identification.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\"Aimed at a broad audience that includes graduate students in engineering and applied mathematics, the book is notable for its emphasis and focus on mathematical intuition and numerical issues. It is very well written, with an attention to detail and rigor... [T]he material is accessible to a wide audience with interests in areas such as control theory of differential equations.\"--Bogdan I. Epureanu, IEEE Control Systems\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003ePreface vii  Chapter 1. Introduction 1  1.1 The Basic Question 1  1.2 Failure etection 3  1.3 Failure Identification 9  1.4 Active Approach versus Passive Approach 10  1.5 Outline of the Book 13  Chapter 2. Failure Detection 14  2.1 Introduction 14  2.2 Static Case 15  2.3 Continuous-Time Systems 25  2.4 iscrete-Time Systems 36  2.5 Real-Time Implementation Issues 42  2.6 Useful Results 44  Chapter 3. Multimodel Formulation 59  3.1 Introduction 59  3.2 Static Case 60  3.3 Continuous-Time Case 76  3.4 Case of On-line Measured Input 90  3.5 More GeneralCost Functions 92  3.6 iscrete-Time Case 99  3.7 Suspension Example 102  3.8 Asymptotic Behavior 111  3.9 Useful Results 112  Chapter 4. Direct Optimization Formulations 122  4.1 Introduction 122  4.2 Optimization Formulation for Two Models 123  4.3 General-ModelCase 138  4.4 Early etection 142  4.5 Other Extensions 150  4.6 Systems with Delays 155  4.7 Setting Error Bounds 172  4.8 Model Uncertainty 173  Chapter 5. Remaining Problems and Extensions 176  5.1 Direct Extensions 177  5.2 Hybrid and Sampled Data Systems 179  5.3 Relation to Stochastic Modeling 179  Chapter 6. Scilab Programs 181  6.1 Introduction 181  6.2 Riccati-based Solution 181  6.3 The Block iagonalization Approach 185  6.4 Getting Scilab and the Programs 188  Appendix A. List of Symbols 189  Bibliography 193  Index 201","brand":"Princeton University Press","offers":[{"title":"Default Title","offer_id":52195213082967,"sku":"9780691099873","price":63.75,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780691099873.jpg?v=1763646758","url":"https:\/\/bookcurl.com\/products\/auxiliary-signal-design-for-failure-detection-9780691099873","provider":"Book Curl","version":"1.0","type":"link"}